Summary
Alex Pandya is a research data scientist and computational astrophysicist with 11 years of interdisciplinary experience, a Princeton PhD, and postdoctoral training in scientific software engineering at Cornell. He has built production-grade simulation software in C/C++ and Python used by major projects (including work incorporated into the Event Horizon Telescope pipeline) and has applied rigorous modeling to domains from neutron star mergers to neuroscience and plasma emissions. Comfortable moving between research and applied data science, he has deployed machine learning solutions with walk-forward validation and high-precision models for real-world problems like NBA player retention. Recently focused on quantifying misuse risks of frontier LLMs for biotechnology and now at Google, he combines deep domain expertise, high-performance computing skills, and a penchant for clear, reproducible code. Colleagues rely on him to translate complex physics into reliable software and actionable insights under tight computational constraints.
11 years of coding experience
4 years of employment as a software developer
University of Illinois Urbana-Champaign
Auburn High School
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Princeton University