I am a Computational Scientist II at Altos Labs, specializing in Statistical Inference and Machine Learning. My work is centered on building robust, scalable, and reproducible computational workflows to derive actionable insights from complex biological data.

I am passionate about the intersection of Evolution and the Physics of Living Systems. I believe that understanding complex biological phenomena requires physics-like approaches, particularly techniques from statistical physics and dynamical systems theory. My goal is to bridge fundamental cellular principles with rigorous, data-driven modeling by combining biophysical models with modern deep learning techniques.

Previously, I was a postdoctoral researcher in the lab of Dmitri Petrov at Stanford University, collaborating with Madhav Mani at Northwestern University. I completed my Ph.D. with Rob Phillips at Caltech, where I explored how cells gather information from the environment, process it, and build responses to maintain homeostasis. You can learn more about my work from my publications.