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Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2

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JacobGlennAyers/README.md

Education -

Associate's Degree of Science from Santa Barbara City College (2019)

Bachelor's Degree from UC San Diego in Electrical Engineering with an emphasis in Machine Learning and Digital Signal Processing (2022)

Master's Degree from UC San Diego in Machine Learning and Data Science from the Electrical and Computer Engineering Department (2024)

Ph.D in the D-ITET Department of ETH Zurich at the Institute of Neuroinformatics (exp. 2028)

Languages -

Python, C, C++, Java, Matlab, BASH

Work Experience -

I lead a research team for Engineers for Exploration on the Automated Acoustic Species Identification project.

Autonomous Systems Intern at Nokia Bell Labs

Popular repositories Loading

  1. ECE148_Final_Project ECE148_Final_Project Public

    Jupyter Notebook 1

  2. passive-acoustic-biodiversity passive-acoustic-biodiversity Public

    Forked from UCSD-E4E/passive-acoustic-biodiversity

    MATLAB

  3. Ecoacoustic_Complexity_Index Ecoacoustic_Complexity_Index Public

    Forked from juancolonna/EGCI

    Amazon rainforest soundscape characterized by Information Theory quantifiers

    Jupyter Notebook 1

  4. microfaune microfaune Public

    Forked from microfaune/microfaune

    Bird Detection and Identification Using Deep Learning

    Jupyter Notebook

  5. microfaune_ai microfaune_ai Public

    Forked from microfaune/microfaune_ai

    Audio Bird Detection and Identification

    Python

  6. Audio_Labeling_System_AID Audio_Labeling_System_AID Public

    Audio Labeling System built to generate human moment-to-moment labels on audio files. At present, being used to label bird audio data. Derived from the open source repo Audino

    JavaScript 1