Hey there, I'm Joe Liu👋
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A determined and creative Ph.D. in biomedical data science with experience in constrained tree-like methods and their applications in observational studies
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A self-driven individual with experience in academia and biopharmaceuticals developing innovative methods for subgroup identification and providing quantitative input to early phase clinical trials, biomarker analyses and drug development
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A published author with a master’s in biostatistics and a master’s in computer science with 5 years of experience in
- risk stratification
- survival analysis
- clinical trials
- deep learning
- medical image analysis
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A Health Innovation Program(HIP) researcher with solid knowledge in
- statistical inference
- clinical trial design
- causal inference
- Bayesian statistics
- machine learning
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A Biostatistics Shared Resource (BSR) consultant with extensive research experience in
- cancer
- diabetes
- palliative care
- Constrained Tree-like Methods
- Prediction of Drug-Target Interactions through Unions of Subspaces (UoS)
- RetinaFace for Face Detection and High-Resolution Networks (HRNets) for Sparse Landmarks Detection
- COVID-19 Chest CT Image Segmentation of Anomalies Using Fully Convolutional DenseNet with Max Unpooling
- Categorical Data Analysis
- Associations between Body Mass Index, Weight Loss, and Overall Survival in Patients with Advanced Lung Cancer
- Associations between Specialty Care, Limb Salvage, and Survival among Patients with Diabetic Foot Ulcers
- Product Review Exploration using R Shiny App
