CV

PhD in Computational and Systems Biology

Massachusetts Institute of Technology

SM in Computational Biology and Quantitative Genetics

Harvard University

BS in Operations Research, Minor in Applied Mathematics

Columbia University

Graduate Research Assistant

Computer Science and Artificial Intellience Laboratory, MIT

• Graph machine learning and causal inference for studying single-cell gene regulatory dynamics
• Enhancer-gene interactions for interpreting effects of noncoding disease variants on gene dysregulation
• Causal TF-gene interactions using RNA velocity graphs to uncover patterns of gene regulatory timing
• Single-cell multi-omic profiling of CRISPR perturbations to chromatin remodelers in cancer
• Bayesian methods for reconstructing gene regulatory networks in small sample size settings

Computational Sciences Intern

Prime Medicine

• Machine learning for prime editing

Machine Learning Research Intern

Twitter Cortex

• Causal graph machine learning for improving the performance of graph attention networks

Deep Learning Intern

Quantum-Si

• Machine learning on biological knowledge graphs for protein function prediction