I am a PhD student in the Quantitative and Computational Biology program at Princeton University. I am a member of the beehive, working with Prof. Barbara E. Engelhardt. I am working at the intersection of statistical genomics and machine learning. I am particularly interested in single cell data analysis and experimental design, and how they can benefit from careful structural bayesian analysis. Before Princeton, I studied mathematics at MIT.
- Exploring the Glucocorticoid Receptor network: challenges in causal inference
Probabilistic Modeling in Genomics, Oxford University, 2016
Joint work with J. Lu, B. Jo, I. C. McDowell, T. Reddy, and B. E. Engelhardt.
- Detection of variance controlling quantitative traits loci
New York Area Population Genomics Workshop, NYC, 2015
Joint work with G. Darnell, J. Ayroles, B. E. Engelhardt.
- Google Research Mountain View, June - August 2017
Worked on deep variational graph embeddings for video recommendation.
- CustomMade, June - July 2013
Worked on a collaborative filtering framework for item recommendation.
Email me for the most recent version of my CV.