Graduate Students

Causal Inference, Dynamical Systems, Representation Learning

Niki Kilbertus, Helmholtz AI

Clinical Trial Simulation, Multimodal Data Integration, Genetic Pathways

Munzer Dahleh, MIT

Multi-Armed Bandits, Federated Learning, Machine Learning for Healthcare

David Sontag, MIT

Gene Regulation

Tommi Jaakkola, MIT

Causal Inference, Trial Emulation, Genomics

Anthony Philippakis, Broad Institute, and Andrea Ganna, FIMM-EMBL

Representation Learning, Gene Regulation

Caroline Uhler, Munther Dahleh

Machine Learning Theory, Graphical Models

Costis Daskalakis, MIT

Caroline Uhler

Gene Regulation, 3D Genome Organization

Caroline Uhler

Representation Learning, Finite-Width Networks

Mikhail Belkin, UC San Diego

Germ Cell Tumor Biology

Eli Van Allen, Harvard Medical School

MRI Atlas Building, Generative Models, Uncertainty

John Guttag, MIT

Caroline Uhler

Cardiovascular Diseases, Generative Modeling

Ziad Obermeyer, UC Berkeley

Cancer Evolution, Clinical Outcome Prediction, Representation Learning

Eli Van Allen, Harvard University

Caroline Uhler, MIT

Cancer Immunology, Multi-Modal Data Integration, Representation Learning, Counterfactual Inference

Ernest Fraenkel, MIT

Empirical Bayes, Gene Regulation

Yury Polyanisky, MIT

Causality, Gene Regulation, Experimental Design

Caroline Uhler, MIT

Representation Learning, Spatial Transcriptomics, Image Integration

Caroline Uhler, MIT