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Research Interests


Drug discoveries have been instrumental in improving global health over the last century, but the median drug now takes about 10 years to bring to market and costs over a billion dollars to develop. My lab aims to expedite the development of precise diagnostics and therapeutics by applying machine learning. Our current work is broadly along two directions. Along the first direction, we use single-cell multiomics to discover regulatory mechanisms governing the interaction between the epigenome, transcription factors, and target genes. This approach relies on methodological innovation, developing new Granger causal inference techniques to capitalize on the “parallax” between simultaneous but separate measures of cell state. In the other direction, we apply large language models to model protein interaction and function. These protein language models enable powerful new approaches to predicting and understanding protein-protein and protein-drug interactions. 

Selected Grants


Computational Biology and Bioinformatics Training Grant

Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2026 - 2031

Analysis of the local and global responses in the placenta syncytiotrophoblast

ResearchCollaborator · Awarded by National Institutes of Health · 2026 - 2031

Neuronal Kinase Signaling in Health and Disease

ResearchCo Investigator · Awarded by National Institutes of Health · 2026 - 2031

Protein Language Models: Representation Learning Innovations for Design and Functional Prediction

ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2026 - 2030

Multiscale Modeling of Influenza Neutralizing Antibody and Fc Effector Biology

ResearchInvestigator · Awarded by National Institute of Allergy and Infectious Diseases · 2024 - 2029

The role of RNA editing in organizing the cytoplasm.

ResearchCollaborator · Awarded by National Institutes of Health · 2026 - 2028

Revealing the hidden topologies of the human kinome

ResearchCollaborator · Awarded by Chan Zuckerberg Initiative · 2023 - 2026

Revealing the Molecular Architecture of PWS Through Large Language Models for Targeted Drug Purposing

ResearchPrincipal Investigator · Awarded by Foundation for Prader-Willi Research · 2024 - 2026

Deciphering the Spatio-temporal Causes of Differentiation

ResearchPrincipal Investigator · Awarded by Chan Zuckerberg Initiative · 2024 - 2026

The Next Generation of Protein Language Models for Biomolecular Interactions in Health and Disease

ResearchPrincipal Investigator · Awarded by Massachusetts Institute of Technology · 2023 - 2024

External Relationships


  • Blackrock Inc
  • martini.ai LLC

This faculty member (or a member of their immediate family) has reported outside activities with the companies, institutions, or organizations listed above. This information is available to institutional leadership and, when appropriate, management plans are in place to address potential conflicts of interest.