I am a data scientist in quantitative analytics. I work end to end: data pipelines, statistical and machine learning models, and the clear, decision-ready answer at the other end. My current focus is putting machine learning and large language models into everyday analytics, fast but validated, with humans in the loop.
I came to industry from research. Over nearly six years in quantitative and computational science, I directed the Biostatistics Core at Cold Spring Harbor Laboratory, leading analytics for its Cancer Center across NIH-funded programs (R01, R21, P01), worked on clinical and survey modeling at Stony Brook Medicine, and supported large-scale oncology studies at Cornell. That work taught me to build pipelines, analyze messy high-dimensional data rigorously, and turn it into something a non-technical decision maker can act on.
I hold an MS in Business Analytics from Duke’s Fuqua School of Business and an MS in Biostatistics and Data Science from Cornell.
My resume is available HERE.