Achille Nazaret
Elham Azizi, Columbia University
Variational Inference Methods for Bayesian Modeling, Cancer Genomics, Spatial Transcriptomics
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Deep Learning Theory, Representation Learning, Machine Learning for Healthcare and Genomics
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Ziad Obermeyer, UC Berkeley
Cardiovascular Diseases, Generative Modeling
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Miguel Hernan, Harvard T.H. Chan School of Public Health
Causal Inference, Target Trial Emulation, G-methods for Dynamic Treatment Strategies, Cancer
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Cancer Immunology, Multi-Modal Data Integration, Representation Learning, Counterfactual Inference
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Multi-Armed Bandits, Federated Learning, Machine Learning for Healthcare
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Anthony Philippakis, Broad Institute, and Andrea Ganna, FIMM-EMBL
Causal Inference, Trial Emulation, Genomics
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Eli Van Allen, Harvard University
Cancer Evolution, Clinical Outcome Prediction, Representation Learning
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MRI Atlas Building, Generative Models, Uncertainty
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Clinical Trial Simulation, Multimodal Data Integration, Genetic Pathways
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Mikhail Belkin, UC San Diego
Representation Learning, Finite-Width Networks
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Eli Van Allen, Harvard Medical School
Germ Cell Tumor Biology
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AI Alignment and Interpretability, Longevity, Regenerative Medicine
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Representation Learning, Spatial Transcriptomics, Image Integration
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