About me

I am physics and computer science student at Stanford University with experience at the intersection of machine learning and complex systems. My work spans computational neuroscience, particle physics research, and machine learning applications in domains such as climate modeling and biomedical data analysis. I enjoy building and analyzing systems that turn large, noisy datasets into meaningful insight. Across research and personal projects, I’ve developed models and pipelines that help to explain predict behavior in high-dimensional systems.

My research experience includes studying molecular mechanisms of Alzheimer’s disease through transcriptomic and network-based analyses, developing and evaluating machine learning methods for particle identification with the ATLAS experiment at SLAC National Accelerator Laboratory, and building computational tools for scientific modeling and optimization. Across these projects, I have worked extensively with statistical inference, machine learning, numerical methods, and large-scale data analysis.

Outside of technical work, I have been a classical pianist for over a decade and am drawn to problems that require both precision and creativity.