Postdoctoral Fellows

Tavor Baharav

Alignment-free Inference, Adaptive Algorithms

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Salil Bhate

Tissue Modeling, Data Integration

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Kai Cao

Single-Cell Genomics, Multi-Omics Integration, Spatial Transcriptomics, Transfer Learning

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Pinar Demetci

Single-cell Multiomics, Gene Regulation, Optimal Transport, Generative Modeling

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David Fischer

Cell Biology, Gene Regulation, Ligand-Receptor Signaling

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Yajit Jain

Immunology, Cancer Biology, Deep Learning

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Wengong Jin

Drug Discovery, Protein Engineering, Geometric Deep Learning

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Vidhi Lalchand

Generative Models, Drug discovery, Bayesian Non-parametrics

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Matthew Levine

Dynamical Systems, Data Assimilation, Uncertainty Quantification, Microbiome Dynamics

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Dongshunyi "Dora" Li

Spatial biology, Cell-cell interactions

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Bijan Mazaheri

Causal Inference, Batch Effect Correction, Multi-Modal Data.

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Aldo Pacchiano

Active Learning, Reinforcement Learning, Machine Learning Theory

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Yue Qin

CRISPR Perturbations, Cell Imaging, Cancer

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Kiran Shiragur

Theoretical Computer Science, Statistics, Information Theory, Optimization

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Maria Skoularidou

Bayesian Deep Learning, Probabilistic Machine Learning, Generative Modeling, PTSD, Genomics

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Petar Stojanov

Cancer Mutations, Gene Expression, Causality

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Sana Tonekaboni

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Luezhen Yuan

Mechanobiology, Cell State Transitions, Multi-Omics

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Ruochi Zhang

Gene Regulation, Transcription Factors

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