About
I am a computational scientist/mathematician with a passion for probabilistic latent variable models and differentiable self-organization in the context of biomedical data. Currently, I work as an associate computational biologist in the New York Genome Center's Technology Innovation Laboratory, where I help develop statistical machine learning tools for genomics research. I also collaborate as a visiting researcher with the Computational Morphogenomics Group at Columbia University, as well as occasionally with the Self-Organizing Systems Group at Google Research. Previously, I received my master's in applied mathematics from Columbia University after studying computer science and mathematics at The Ohio State University. Outside of research, I enjoy inline skating, skiing, scuba diving, playing the lyre harp, and building cool stuff.