cv.yaml

name:
  first: Brandon
  last: Amos
email: bda@meta.com
pdf: /data/cv.pdf
src: https://github.com/bamos/cv
url: "bamos.github.io"
social:
  github: bamos
  twitter: brandondamos
  linkedin: bdamos
  google_scholar: d8gdZR4AAAAJ

# LaTeX formatting
style: banking # casual, classic, oldstyle, or banking
color: blue # blue, orange, green, red, purple, grey and black
color2: '0.25,0.25,0.25' # Make the font under the name a darker grey.

order:
  - [about, NONE]
  - [current_position, Current Positions]
  - [education, Education]
  - [positions, Previous Positions]
  - [honors, Honors \& Awards]
  - [all_publications, Publications]
  - [repos, Open Source Repositories]
  # - [NEWPAGE, NONE]
  - [talks, Invited Talks]
  - [advising, Interns and Students]
  - [service, Professional Activities]
  - [teaching, Teaching]
  - [skills, Skills]
  # - [NEWPAGE, NONE]

about: |
  <p align='justify'>
  I am a research scientist in the
  <b>Fundamental AI Research (FAIR)</b>
  group at
  <b>Meta</b> in NYC and also
  teach machine learning at <b>Cornell Tech</b>.
  I study foundational topics in <b>machine learning</b> and
  <b>optimization</b>, recently involving
  reinforcement learning, control, optimal transport, and geometry.
  My research is on learning systems that understand and interact with our world
  and focuses on integrating structural information and domain knowledge into
  these systems to represent non-trivial reasoning operations.
  </p><br>

current_position:
  - place: Meta, Fundamental AI Research (FAIR)
    location: New York City
    title: Research Scientist
    dates: 2019 -- Present
  - place: Cornell Tech
    location: New York City
    title: Visiting Lecturer
    dates: 2024 -- Present

education:
  - school: Carnegie Mellon University
    location: Pittsburgh, PA
    degree: Ph.D. in Computer Science
    dates: 2014 -- 2019 # May 19, 2019
    overallGPA: 0.00/0.00
    details:
      - "Thesis: \\href{https://github.com/bamos/thesis}{\\textit{Differentiable Optimization-Based Modeling for Machine Learning}}"
      - "Advisor: \\href{https://zicokolter.com}{J. Zico Kolter}"
  - school: Virginia Tech
    location: Blacksburg, VA
    degree: B.S. in Computer Science
    dates: 2011 -- 2014
    overallGPA: 3.99/4.00
    majorGPA: 4.00/4.00
# - school: Northside High School
#   location: Roanoke, VA
#   dates: 2011

positions:
  - place: Carnegie Mellon University
    title: Research Assistant
    inline_detail: "with \\href{https://zicokolter.com}{J. Zico Kolter} on ML and optimization"
    dates: 2016 -- 2019
  - place: Intel Labs
    location: Santa Clara
    title: Research Intern
    dates: 2018
    inline_detail: "with \\href{http://vladlen.info/}{Vladlen Koltun} on computer vision"
  - place: Google DeepMind
    location: London
    title: Research Intern
    dates: 2017
    inline_detail: "with \\href{https://scholar.google.com/citations?user=nzEluBwAAAAJ}{Nando de Freitas} and \\href{http://mdenil.com/}{Misha Denil} on RL"
  - place: Carnegie Mellon University
    title: Research Assistant
    inline_detail: "with \\href{https://www.cs.cmu.edu/~satya/}{Mahadev Satyanarayanan} on mobile systems"
    dates: 2014 -- 2016
  - place: Adobe Research
    location: San Jose
    title: Research Intern
    dates: 2014
    inline_detail: "with \\href{https://research.adobe.com/person/david-tompkins/}{David Tompkins} on distributed systems"
    # details:
    #   - I built a web analytics processing engine using {\bf Scala},
    #     {\bf Spark}, {\bf Spray}, {\bf Parquet}, and {\bf HDFS}.
  - place: Virginia Tech
    title: Research Assistant
    inline_detail: "with \\href{https://people.cs.vt.edu/~ltw/shortvita.html}{Layne Watson} and \\href{https://dblp.org/pid/75/8682.html}{David Easterling} on optimization"
    dates: 2013 -- 2014
    # area: Scientific computing, global/stochastic optimization, and bioinformatics
    # details:
    #   - Algorithm development for global and stochastic optimization using quasi-Newton
    #     methods for {\bf parameter estimation} in
    #     {\bf Fortran 95} and {\bf OpenMP}.
    #   - Bioinformatics research on yeast cell modeling using
    #     {\bf Fortran 95}, {\bf C++}, and {\bf Matlab}.
  - place: Virginia Tech
    title: Research Assistant
    inline_detail: "with \\href{https://www.magnum.io/people/jules.html}{Jules White} and \\href{https://scholar.google.com/citations?user=MRKab9cAAAAJ}{Hamilton Turner} on mobile systems"
    dates: 2012 -- 2014
    # dates: May 2012 -- May 2014
    # area: Mobile systems, cyber-physical systems, and security
    # details:
    #   - Android malware detection research using
    #     a distributed {\bf Actor-based Scala} system.
      #- Modified the {\bf Android source} to provide non-standard logging
      #  information for dynamic malware analysis.
      # - Manufacturing cyber-physical security research implemented
      #   with {\bf VC\#} and {\bf Python}.
      #- Developed {\bf VC\#} and {\bf Python} programs for a pilot study on
      #  manufacturing cyber-physical security.
      #- Assisted {\bf C++} and {\bf Make} development in {\bf Linux} for a
      #  deployment optimization framework.
  - place: Virginia Tech
    title: Research Assistant
    inline_detail: "with \\href{https://www.ssrg.ece.vt.edu/}{Binoy Ravindran} and \\href{https://scholar.google.com/citations?user=UG5yHRIAAAAJ}{Alastair Murray} on compilers"
    dates: 2012 -- 2014
    # dates: Nov 2012 -- Mar 2014
    # details:
    #   - Compiler research on a heterogeneous system
    #     on automatic {\bf OpenMP} to {\bf CUDA}
    #     translation using {\bf C++} and the {\bf ROSE} compiler framework.
    #   - Polyhedral loop optimization research to restructure
    #     {\bf OpenCL} kernels for locality using {\bf LLVM} and {\bf Polly}.
      #- '{\bf Scala} and {\bf Bash} development in {\bf Linux}.'
  - place: Snowplow
    # location: Remote
    title: Software Intern
    dates: 2013 -- 2014
    inline_detail: "Scala development"
    # details:
    # - Open-source {\bf Scala} development with a startup on the
    #   Snowplow analytics platform.
    #   My commits are online at
    #   \url{https://github.com/snowplow/snowplow/commits?author=bamos}.
    # - Developed a new server using {\bf Spray} and {\bf Actors} to store
    #   {\bf Thrift} events on {\bf Amazon Kinesis}.
    # - "Helped port Snowplow's Scala enrichment process to Kinesis."
  - place: Qualcomm
    location: San Diego
    title: Software Intern
    inline_detail: "Python and C++ development"
    dates: 2013
    # details:
    # - "I created a specification format language translator for fuzz
    #   testing with Python."
    # - Developed an XML modification {\bf web application} for
    #   fuzz vector generation.
    #   Implemented with client-side {\bf HTML} and {\bf js},
    #   using {\bf D3} for graphics and {\bf Handlebars} for templating.
    # - Developed an XML-based grammar translator in {\bf C++} with
    #   the {\bf Xerces} XML parser in {\bf Linux}.
    #   Reimplemented in {\bf Python} using the {\bf ElementTree} XML API for
    #   sophisticated analysis and tree transformations.
  - place: Phoenix Integration
    location: Virginia
    title: Software Intern
    dates: 2012
    inline_detail: "C++, C\\#, and Java development"
      #"{\bf VC++}, {\bf VC\#}, {\bf Java}"
    # details:
    #   - I developed industry software for software integration and
    #     design process optimization in {\bf VC++}, {\bf VC\#}, and {\bf Java}.
      # - Developed industry software in
      #   {\bf VC++}, {\bf VC\#}, {\bf Java}, and {\bf Tomcat}.
      # - Improved the testing ({\bf JUnit} and {\bf NUnit}) and installation
      #   ({\bf Ant}, {\bf InstallShield}, and {\bf Make}) frameworks.
      # - Integrated a new licensing mode into CenterLink, a grid computing
      #   application, using {\bf FLEXlm} and {\bf Java}.
  - place: Sunapsys
    location: Virginia
    title: Network Administrator Intern
    dates: 2011
    # dates: Jan 2011 -- Aug 2011
    # details:
    #   - Internship in high school to replace Windows domain, mail,
    #     DHCP, and DNS servers with virtual {\bf Linux} servers
    #     using {\bf KVM} and {\bf virsh}.
      # - Migrated the office's computers to the Linux servers.
      # - Created {\bf Bash} scripts for incremental backups with rsync
      #   and hard links.

honors:
  - title: NeurIPS Top Reviewer
    year: 2022
    url: https://neurips.cc/Conferences/2022/ProgramCommittee
  - title: ICML Outstanding Reviewer
    year: 2022
    url: https://icml.cc/Conferences/2022/Reviewers
  - title: ICLR Outstanding Reviewer
    year: 2019
    url: https://iclr.cc/Conferences/2019/Awards
  - title: NSF Graduate Research Fellowship
    year: 2016 -- 2019
  - title: Nine undergraduate scholarships
    descr: |
      Roanoke County Public Schools Engineering,
      Salem--Roanoke County Chamber of Commerce,
      Papa John's,
      Scottish Rite of Freemasonry,
      VT Intelligence Community Conter for Academic Excellence,
      VT Pamplin Leader,
      VT Benjamin F.~Bock, VT Gay B.~Shober, VT I.~Luck Gravett
    year: 2011 -- 2014

all_publications:
  name: "Amos"
  file: all.bib
  sort_bib: True
  include_image: True
  group_by_year: True
  error_without_author_url: True
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    'Aditya Grover': 'https://aditya-grover.github.io/'
    'Akshay Agrawal': 'https://www.akshayagrawal.com/'
    'Alex Hauptmann': 'http://www.cs.cmu.edu/~alex/'
    'Alexander Rives': 'https://scholar.google.com/citations?user=vqb78-gAAAAJ'
    'Alistair Muldal': 'https://scholar.google.com/citations?user=YfgdfyYAAAAJ'
    'Amy Zhang': 'https://amyzhang.github.io/'
    'Andrew Gordon Wilson': 'https://cims.nyu.edu/~andrewgw/'
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    'Anupam Das': 'https://anupamdas.org/'
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    'Artem Molchanov': 'https://amolchanov86.github.io/'
    'Austin Wang': 'https://scholar.google.com/citations?user=keDqjK0AAAAJ'
    'Bartolomeo Stellato': 'https://stellato.io/'
    'Bartosz Ludwiczuk': 'https://www.linkedin.com/in/bartosz-ludwiczuk-a677a760'
    'Benjamin Gilbert': 'https://github.com/bgilbert'
    'Brent Castle': 'https://dblp.org/pid/142/1258.html'
    'Byron Boots': 'https://homes.cs.washington.edu/~bboots/'
    'Caroline Chen': 'https://www.linkedin.com/in/caroline-chen/'
    'Christopher Williams': 'https://scholar.google.com/citations?user=AW81mosAAAAJ'
    'Cihan Oguz': 'https://scholar.google.com/citations?user=Z4534DUAAAAJ'
    'Cliff Shaffer': 'https://people.cs.vt.edu/shaffer/'
    'Chuan Guo': 'https://sites.google.com/view/chuanguo'
    'Colmenarejo': 'https://scholar.google.com/citations?user=0Dkf68EAAAAJ'
    'Daniel DeTone': 'https://danieldetone.com/'
    'Daniel Siewiorek': 'http://www.cs.cmu.edu/~dps/'
    'David Easterling': 'https://dblp.org/pid/75/8682.html'
    'Deisenroth': 'https://www.deisenroth.cc/'
    'Denis Yarats': 'https://cs.nyu.edu/~dy1042/'
    'Douwe Kiela': 'https://douwekiela.github.io/'
    'Edward Grefenstette': 'https://www.egrefen.com/'
    'Eugene Vinitsky': 'https://www.eugenevinitsky.com'
    'Franziska Meier': 'https://fmeier.github.io/'
    'Geoff Gordon': 'http://www.cs.cmu.edu/~ggordon/'
    'Georg Martius': 'https://al.is.mpg.de/person/gmartius'
    'Georgina Hall': 'https://sites.google.com/view/georgina-hall'
    'Gisella Kakoti': 'https://dblp.org/pid/235/5473.html'
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    'Ievgen Redko': 'https://ievred.github.io'
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    'Layne T. Watson': 'https://people.cs.vt.edu/~ltw/shortvita.html'
    'Lei Xu': 'https://leixx.io/'
    'Lu Jiang': 'http://www.lujiang.info/'
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    'Musil': 'https://scholar.google.com/citations?user=hA1rlU4AAAAJ'
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    'Phu Mon Htut': 'https://phumonhtut.me/'
    'Pieter Simoens': 'https://www.ugent.be/ea/idlab/en/members/pieter-simoens.htm'
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    'Doron Haviv': 'https://doronhav.github.io/'
    "Dana Pe'er": 'https://scholar.google.com/citations?user=aJOeGRoAAAAJ'

repos:
  - repo_url: https://github.com/facebookresearch/advprompter
    year: 2024
    desc: Fast Adaptive Adversarial Prompting for LLMs
  - repo_url: https://github.com/facebookresearch/lagrangian-ot
    year: 2024
    desc: Lagrangian OT
  - repo_url: https://github.com/lazaratan/meta-flow-matching
    year: 2024
    desc: Meta Flow Matching
  - repo_url: https://github.com/facebookresearch/soc-matching
    year: 2024
    desc: Stochastic Optimal Control Matching
  - repo_url: https://github.com/kuleshov/cornell-cs5785-2024-applied-ml
    year: 2024
    desc: Slides for our applied ML course
  - repo_url: https://github.com/facebookresearch/amortized-optimization-tutorial
    year: 2023
    desc: Tutorial on amortized optimization
  - repo_url: https://github.com/facebookresearch/taskmet
    year: 2023
    desc: "TaskMet: Task-Driven Metric Learning for Model Learning"
  - repo_url: https://github.com/facebookresearch/w2ot
    year: 2023
    desc: Wasserstein-2 optimal transport in JAX
  - repo_url: https://github.com/facebookresearch/LANCER
    year: 2023
    desc: Landscape Surrogate Learning Decision Losses
  - repo_url: https://github.com/facebookresearch/theseus
    year: 2022
    desc: Differentiable non-linear optimization library
  - repo_url: https://github.com/facebookresearch/meta-ot
    year: 2022
    desc: Meta Optimal Transport
  - repo_url: https://github.com/bamos/presentations
    year: 2022
    desc: Source for my major presentations
  - repo_url: https://github.com/facebookresearch/gwil
    year: 2022
    desc: Gromov-Wasserstein Cross Domain Imitation Learning
  - repo_url: https://github.com/facebookresearch/nocturne
    year: 2022
    desc: A partially-observable multi-agent driving simulator
  - repo_url: https://github.com/facebookresearch/rcpm
    year: 2021
    desc: Riemannian Convex Potential Maps
  - repo_url: https://github.com/facebookresearch/svg
    year: 2021
    desc: Model-based stochastic value gradient
  - repo_url: https://github.com/facebookresearch/mbrl-lib
    year: 2021
    desc: Model-based reinforcement learning library
  - repo_url: https://github.com/martius-lab/CombOptNet
    year: 2021
    desc: CombOptNet
  - repo_url: https://github.com/samcohen16/Aligning-Time-Series
    year: 2021
    desc: Aligning time series on incomparable spaces
  - repo_url: https://github.com/facebookresearch/neural_stpp
    year: 2021
    desc: Neural Spatio-Temporal Point Processes
  - repo_url: https://github.com/facebookresearch/neural-scs
    year: 2021
    desc: Neural Fixed-Point Acceleration for SCS
  - repo_url: https://github.com/rtqichen/torchdiffeq
    year: 2021
    desc: PyTorch Differentiable ODE Solvers (differentiable event handling)
  - repo_url: https://github.com/facebookresearch/dcem
    year: 2020
    desc: The Differentiable Cross-Entropy Method
  - repo_url: https://github.com/facebookresearch/higher
    year: 2019
    desc: PyTorch higher-order gradient and optimization library
  - repo_url: https://github.com/bamos/thesis
    year: 2019
    desc: Ph.D.~Thesis LaTeX source code
  - repo_url: https://github.com/cvxgrp/cvxpylayers
    year: 2019
    desc: Differentiable Convex Optimization Layers
  - repo_url: https://github.com/locuslab/lml
    year: 2019
    desc: The Limited Multi-Label Projection Layer
  - repo_url: https://github.com/locuslab/mpc.pytorch
    year: 2018
    desc: Differentiable PyTorch Model Predictive Control library
  - repo_url: https://github.com/locuslab/differentiable-mpc
    year: 2018
    desc: Differentiable MPC experiments
  - repo_url: https://github.com/locuslab/icnn
    year: 2017
    desc: Input Convex Neural Network experiments
  - repo_url: https://github.com/locuslab/optnet
    year: 2017
    desc: OptNet experiments
  - repo_url: https://github.com/locuslab/qpth
    www: https://locuslab.github.io/qpth/
    year: 2017
    desc: Differentiable PyTorch QP solver
  - repo_url: https://github.com/bamos/densenet.pytorch
    year: 2017
    desc: PyTorch DenseNet implementation
  - repo_url: https://github.com/bamos/block
    year: 2017
    desc: Intelligent block matrix constructions
  - repo_url: https://github.com/bamos/setGPU
    year: 2017
    desc: Automatically use the least-loaded GPU
  - repo_url: https://github.com/bamos/dcgan-completion.tensorflow
    year: 2016
    desc: Image completion with GANs
  - repo_url: https://github.com/cmusatyalab/openface
    www: http://cmusatyalab.github.io/openface/
    year: 2015
    desc: Face recognition with deep neural networks
  - repo_url: https://github.com/bamos/girl
    year: 2015
    desc: GitHub README link checker
  - repo_url: https://github.com/bamos/conference-tracker
    year: 2015
    desc: Minimal conference tracker
  - repo_url: https://github.com/vtopt/qnstop
    year: 2014
    desc: Fortran quasi-Newton stochastic optimization library
  - repo_url: https://github.com/bamos/snowglobe
    year: 2014
    desc: Haskell-driven, self-hosted web analytics with minimal configuration
  - repo_url: https://github.com/bamos/zsh-history-analysis
    year: 2014
    desc: Analyze and plot your zsh history
  - repo_url: https://github.com/bamos/beamer-snippets
    year: 2014
    desc: Beamer and TikZ snippets
  - repo_url: https://github.com/bamos/latex-templates
    year: 2013
    desc: LaTeX templates
  - repo_url: https://github.com/cparse/cparse
    year: 2013
    desc: C++ expression parser using Dijkstra's shunting-yard algorithm
  - repo_url: https://github.com/bamos/cv
    year: 2013
    desc: "Source for this CV: Creates LaTeX/Markdown from YAML/BibTeX"
  - repo_url: https://github.com/bamos/parsec-benchmark
    year: 2013
    desc: PARSEC benchmark support for Arch Linux
  - repo_url: https://github.com/bamos/python-scripts
    year: 2013
    desc: Short and fun Python scripts
  - repo_url: https://github.com/bamos/reading-list
    year: 2013
    desc: YAML reading list and notes system
  - repo_url: https://github.com/bamos/dotfiles
    year: 2012
    desc: $\varheart$ Linux, xmonad, emacs, vim, zsh, tmux

talks:
  - title: Transport and flows on distributions over distributions
    location: Genesis Therapeutics
    year: 2024
  - title: Transport and flows on distributions over distributions
    location: UT Austin
    year: 2024
  - title: On LLM prompt optimization and amortization
    url: https://bamos.github.io/presentations/2024/10/27/prompt-optimization-and-amortization.html
    location: Dagstuhl Seminar on ML for CO
    location_url: https://www.dagstuhl.de/24441
    year: 2024
  - title: Amortized optimization for optimal transport and LLM attacks
    url: https://bamos.github.io/presentations/2024/07/01/amortized-optimization-for-OT-and-LLMs.html
    location: ISMP
    year: 2024
  - title: Differentiable optimization for robotics
    url: https://bamos.github.io/presentations/2024/07/01/differentiable-optimization-and-robotics.html
    location: RSS Optimization for Robotics Workshop
    location_url: https://sites.google.com/robotics.utias.utoronto.ca/frontiers-optimization-rss24/schedule
    year: 2024
  - title: Amortized optimization-based reasoning for AI
    url: https://bamos.github.io/presentations/2024/07/01/amortized-optimization-and-AI.html
    location: University of Amsterdam
    year: 2024
  - title: End-to-end learning geometries for graphs, dynamical systems, and regression
    url: https://bamos.github.io/presentations/2024/02/01/e2e-geometries.html
    location: LoG New York
    location_url: https://logmeetupnyc.github.io/
    year: 2024
  - title: "Amortized optimization for optimal transport"
    url: https://bamos.github.io/presentations/2023/01/01/amortized-optimal-transport.html
    location: 'NeurIPS Optimal Transport and ML Workshop'
    location_url: https://otmlworkshop.github.io/schedule/
    year: 2023
  - title: "On optimal control and machine learning"
    url: https://bamos.github.io/presentations/2023/01/01/control-learning.html
    location: 'ICML Control and Dynamical Systems Workshop'
    location_url: https://frontiers4lcd.github.io/
    year: 2023
  - title: "Tutorial on amortized optimization"
    url: https://bamos.github.io/presentations/2023/01/01/amortized-optimization.html
    location: Brown University
    year: 2023
  - title: "Learning with differentiable and amortized optimization"
    url: https://bamos.github.io/presentations/2023/01/01/differentiable-amortized-optimization.html
    location: NYU AI Seminar
    year: 2023
  - title: "Learning with differentiable and amortized optimization"
    url: https://bamos.github.io/presentations/2023/01/01/differentiable-amortized-optimization.html
    location: Vanderbilt ML Seminar
    year: 2023
  - title: "Learning with differentiable and amortized optimization"
    url: https://bamos.github.io/presentations/2023/01/01/differentiable-amortized-optimization.html
    location: Microsoft Research
    year: 2022
  - title: "Amortized optimization for computing optimal transport maps"
    url: https://bamos.github.io/presentations/2022/01/01/amortized-optimal-transport.html
    location: Flatiron Workshop
    location_url: https://sites.google.com/view/sampling-transport-diffusions/home
    year: 2022
  - title: "Learning with differentiable and amortized optimization"
    url: https://bamos.github.io/presentations/2023/01/01/differentiable-amortized-optimization.html
    location: Cornell AI Seminar
    year: 2022
  - title: "Learning with differentiable and amortized optimization"
    url: https://bamos.github.io/presentations/2023/01/01/differentiable-amortized-optimization.html
    location: Cornell Tech Seminar
    year: 2022
  - title: "Learning with differentiable and amortized optimization"
    url: https://bamos.github.io/presentations/2023/01/01/differentiable-amortized-optimization.html
    location: Argonne National Laboratory
    year: 2022
  - title: "Theseus: A library for differentiable nonlinear optimization"
    url: https://slideslive.com/38992360/theseus-a-library-for-differentiable-nonlinear-optimization
    location: NYU
    year: 2022
  - title: "Theseus: A library for differentiable nonlinear optimization"
    url: https://slideslive.com/38992360/theseus-a-library-for-differentiable-nonlinear-optimization
    location: University of Zurich
    year: 2022
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Colorado Mines AMS Colloquium
    year: 2022
  - title: Differentiable optimization
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: IJCAI Tutorial
    location_url: https://guaguakai.github.io/IJCAI22-differentiable-optimization/
    year: 2022
  - title: Differentiable optimization for control and RL
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-control.html
    location: ICML Workshop on Decision Awareness in RL
    location_url: https://darl-workshop.github.io/
    year: 2022
  - location: CPAIOR Master Class
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location_url: https://sites.google.com/usc.edu/cpaior-2022/master_class
    title: Differentiable optimization-based modeling for machine learning
    year: 2022
  - title: Tutorial on amortized optimization
    url: https://bamos.github.io/presentations/2022/01/01/amortized-optimization.html
    location: ICCOPT
    year: 2022
  - title: Differentiable optimization for control and RL
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-control.html
    location: Gridmatic
    year: 2022
  - title: Learning for control with differentiable optimization and ODEs
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-control.html
    location: Columbia University
    year: 2021
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: IBM Research
    year: 2021
  - title: Differentiable optimization for control
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-control.html
    location: Max Planck Institute (Tübingen)
    year: 2020
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Mila Seminar
    year: 2020
  - title: Deep Declarative Networks
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: ECCV Tutorial
    location_url: https://anucvml.github.io/ddn-eccvt2020/
    year: 2020
  - title: On differentiable optimization for control and vision
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: CVPR Deep Declarative Networks Workshop
    location_url: https://anucvml.github.io/ddn-cvprw2020/
    year: 2020
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Caltech CS 159 (Guest Lecture)
    location_url: https://sites.google.com/view/cs-159-spring-2020/lectures
    year: 2020
  - title: Unrolled optimization for learning deep energy models
    url: https://bamos.github.io/presentations/2020/01/01/dcem.html
    location: SIAM MDS Minisymposium
    location_url: https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=67922
    year: 2020
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: NYU CILVR Seminar
    year: 2019
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: INFORMS
    year: 2019
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Facebook AI Research
    year: 2019
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: ISMP
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Google Brain
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Bosch Center for AI
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Waymo Research
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Tesla AI
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: NVIDIA Robotics
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: Salesforce Research
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: OpenAI
    year: 2018
  - title: Differentiable optimization-based modeling for machine learning
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-optimization.html
    location: NNAISENSE
    year: 2018
  - title: Differentiable optimization and control
    url: https://bamos.github.io/presentations/2022/01/01/differentiable-control.html
    location: UC Berkeley
    year: 2018

advising:
  - year: 2024 -- present
    name: Aaron Havens
    details: "visiting FAIR from UIUC"
    url: https://scholar.google.com/citations?user=HBAXF6YAAAAJ
  - year: 2022 -- 2024
    name: Aram-Alexandre Pooladian
    details: "visiting FAIR from NYU"
    url: https://arampooladian.com/
  - year: 2022 -- 2024
    name: Carles Domingo-Enrich
    details: "visiting FAIR from NYU, now at MSR"
    url: https://cdenrich.github.io/
  - year: 2023 -- 2024
    name: Anselm Paulus
    details: "visiting FAIR from Max Planck Institute, Tübingen"
    url: https://scholar.google.com/citations?user=njZL5CQAAAAJ
  - year: 2023
    name: Matthew Retchin
    details: "Columbia MS thesis committee, now at Harvard"
    url: https://www.mhr.ai
  - year: 2022 -- 2023
    name: Sanae Lotfi
    details: "visiting FAIR from NYU"
    url: https://sanaelotfi.github.io/
  - year: 2022 -- 2023
    name: Dishank Bansal
    details: "AI resident at FAIR"
    url: https://dishank-b.github.io
  - year: 2021 -- 2022
    name: Arnaud Fickinger
    details: "visiting FAIR from Berkeley"
    url: https://www.linkedin.com/in/arnaudfickinger/
  - year: 2020 -- 2022
    name: Aaron Lou
    details: "visiting FAIR from Cornell and Stanford, now scientist at OpenAI"
    url: https://aaronlou.com/
  - year: 2021 -- 2022
    name: Eugene Vinitsky
    details: "visiting FAIR from Berkeley, now professor at NYU"
    url: https://www.eugenevinitsky.com
  - year: 2021 -- 2022
    name: Samuel Cohen
    details: "visiting FAIR from UCL, now CEO at FairGen"
    url: https://scholar.google.com/citations?user=CmdjfTsAAAAJ
  - year: 2020
    name: Ricky Chen
    details: "visiting FAIR from Toronto, now scientist at FAIR"
    url: http://www.cs.toronto.edu/~rtqichen/
  - year: 2020
    name: Paul Liang
    details: "visiting FAIR from CMU, now professor at MIT"
    url: http://www.cs.cmu.edu/~pliang/
  - year: 2018
    name: Phillip Wang
    details: "at CMU, now CEO at \\href{https://gather.town/}{Gather}"
    url: https://phillipkwang.com/

service:
  reviewing:
    - "AAAI Conference on Artificial Intelligence"
    - "American Controls Conference (ACC)"
    - "IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"
    - "IEEE Conference on Decision and Control (CDC)"
    - "IEEE Control Systems Letters (L-CSS)"
    - "IEEE International Conference on Computer Vision (ICCV)"
    - "IEEE International Conference on Intelligent Robots and Systems (IROS)"
    - "IEEE International Conference on Robotics and Automation (ICRA)"
    - "International Conference on the Constraint Programming, AI, and Operations Research (CPAIOR)"
    - "International Conference on Learning Representations (ICLR)"
    - "International Conference on Machine Learning (ICML)"
    - "International Conference on Machine Learning (ICML) SODS Workshop"
    - "Journal of Machine Learning Research (JMLR)"
    - "Learning for Dynamics and Control (L4DC)"
    - "Mathematical Programming Computation (MPC)"
    - "Neural Information Processing Systems (NeurIPS)"
    - "Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track"
    - "Neural Information Processing Systems (NeurIPS) OPT Workshop"
    - "Neural Information Processing Systems (NeurIPS) DiffCVGP Workshop"
    - "Neural Information Processing Systems (NeurIPS) Deep RL Workshop"
    - "Optimization Letters"
    - "Transactions on Machine Learning Research (TMLR)"

  main:
    - details: AAAI Senior Program Committee
      year: 2025
    - details: NeurIPS Area Chair
      year: 2024
    - details: NeurIPS Datasets and Benchmarks Area Chair
      year: 2024
    - details: AAAI Senior Program Committee
      year: 2024
    - details: NeurIPS Area Chair
      year: 2023
    - details: NeurIPS Datasets and Benchmarks Area Chair
      year: 2023
    - details: AAAI Senior Program Committee
      year: 2023
    - details: NeurIPS Learning Meets Combinatorial Optimization Workshop Organizer
      year: 2020
      url: https://sites.google.com/view/lmca2020/home
    - details: CVPR Deep Declarative Networks Workshop Organizer
      url: https://anucvml.github.io/ddn-cvprw2020/
      year: 2020
    - details: ECCV Deep Declarative Networks Tutorial Organizer
      url: https://anucvml.github.io/ddn-eccvt2020/
      year: 2020
    - details: CMU CSD MS Admissions
      year: 2014 -- 2015

skills:
  - title: Programming
    details: C, C++, Fortran, Haskell, Java,
      Lua, Make, Mathematica, Python, R, Scala
  - title: Frameworks
    details: JAX, NumPy, Pandas, PyTorch, SciPy, TensorFlow, Torch7
  - title: Toolbox
    details: Linux, emacs, vim, evil, org, mu4e, xmonad, git, tmux, zsh

teaching:
  - semester: F2024
    name: Applied Machine Learning
    short: Cornell Tech CS5785
    position: Co-instructor
  - semester: S2017
    name: Graduate AI
    short: CMU 15-780
    position: TA
  - semester: S2016
    name: Distributed Systems
    short: CMU 15-440/640
    position: TA
  - semester: S2013
    name: Software Design and Data Structures
    short: VT CS2114
    position: TA

# === Older honors/awards from high school and college :-)
# - title: Phi Beta Kappa Honor Society
#   year: Inducted May 2014
# - title: 1st Place Undergraduate Senior Capstone Award, Virginia Tech Computer Science
#   year: 2014
# - title: David Heilman Research Award, Virginia Tech Computer Science
#   year: 2014
#   descr: Awarded to the Computer Science student with the most
#     outstanding research experience.
# - title: Senior Scholar Award, Virginia Tech Computer Science
#   year: 2014
#   descr: Awarded to the senior in Computer Science with the most
#          outstanding academic record.
# - title: ACC Meeting of the Minds Undergraduate Research Conference, 2014
#   url: https://news.vt.edu/articles/2014/03/030514-uged-accmom.html
# - title: Honorable Mention, CRA Outstanding Undergraduate Researcher Award
#   year: 2014
# - title: Qualstar Award, Qualcomm, 2013
# - title: Pi Mu Epsilon Honor Society, Inducted 2013
# - title: Benjamin F. Bock Merit Scholarship, Virginia Tech Engineering
#   year: 2013 -- 2014
# - title: Sophomore Scholar Award, Virginia Tech Computer Science, 2013
#   descr: Awarded to the sophomore in Computer Science with the most
#          outstanding academic record.
# - title: University Honors, Virginia Tech, 2012 -- 2014
# - title: Intelligence Community Center of Academic Excellence Scholarship, Virginia Tech
#   year: 2012 -- 2014
#   descr: Merit-based scholarship providing a cyber-security
#          research fellowship.
# - title: Dean's List with Distinction, Virginia Tech, 2011 -- 2014
# - title: Engineering Merit Scholarship,
#          Roanoke County Public Schools Education Foundation
#   year: 2011
#   descr: Merit-based scholarship presented annually to one student
#          in the graduating Engineering class.
# - title: "Papa John's Merit Scholarship"
#   year: 2011
# - title: Gay B. Shober Memorial Merit Scholarship,
#          Roanoke County Federal Credit Union
#   year: 2011
# - title: Pamplin Leader Merit Scholarship, Virginia Tech
#   year: 2011
#   descr: Merit-based scholarship presented to one student from
#          each public high school in Virginia.
# - title: I. Luck Gravett Memorial Merit Scholarship,
#       Scottish Rite of Freemasonry
#   year: 2011
# - title: Salem -- Roanoke County Chamber of Commerce Merit Scholarship
#   year: 2011
#   url: https://roanoke.com/business/salem-roanoke-county-chamber-awards-area-scholarships/article_c73df5c1-f6d5-5a77-bb64-eab623da42d3.html
# - title: 1st Place Regional CAD/Engineering Drawing,
#          Virginia TSA, Blue Ridge Region, 2011
# - title: District Band Trumpeter, VBODA District VI, 2009 -- 2011
# - title: Virginia Aerospace Science and Technology Scholar,
#          National Space Grant Foundation, 2010
#   descr: Selected as an attendee of a summer academy at NASA
#          Langley Research Center.
# - title: Head Junior Marshall, Northside High School, 2010
# - title: 3rd Place District Foreign Extemporaneous Speaker,
#          VHSL Forensics, 2009

# activities: # From high school and college :-)
# - Honors Residential College, Virginia Tech, 2013 -- 2014
# - Hokies Pep Band, Virginia Tech, 2012 -- 2013
# - Computer Science Community Service, Virginia Tech, 2012
# - Symphony Band, Virginia Tech, 2011 -- 2012
# - Linux and Unix Users Group, Virginia Tech, 2011 -- 2012
# - Galileo Living -- Learning Community, Virginia Tech, 2011 -- 2012
# - Trumpet Section Leader, Maring Band, Northside High School, 2010 -- 2011
# - Math Club, Northside High School, 2010 -- 2011
# - National Honor Society, Northside High School, 2009 -- 2011
# - Academic Team, Northside High School, 2009 -- 2011
# - Chess Team, Northside High School, 2009 -- 2011
# - Tennis Team, Northside High School, 2008 -- 2011
# - Technology Student Association, Northside High School, 2008 -- 2011
# - Maring Band, Northside High School, 2007 -- 2011
# - Robotics Team, Virginia Western Community College, 2009 -- 2010
# - Guitar Club, Northside High School, 2009 -- 2010
# - Forensics Team, Northside High School, 2008 -- 2010
# - Spanish Club, Northside High School, 2008 -- 2010
# - Engineering Club, Burton Center for Arts and Technology, 2007 -- 2008
# - Soccer Team, Northside High School, 2007 -- 2008

# Erdős  number is at most 4.
# (Brandon Amos -> Layne Watson -> Leroy Kelly -> Zoltán Füredi -> Paul Erdős )