Summary
Andrew Gao is a versatile software engineer and AI researcher with eight years of experience bridging machine learning, biotech, and startup product work from Palo Alto. Currently at Cognition and studying CS + AI at Stanford, he has built finetuning infrastructure for LLMs at LangChain and shipped generative-AI MVPs for grant applications in industry settings. His background includes ML-driven QSAR modeling with three first-author peer-reviewed publications and hands-on computational drug discovery, reflecting a rare blend of domain expertise in molecular modeling and production ML. He’s also active in early-stage venture and research communities as a Venture Partner at Contrary and an editor for the Stanford Undergraduate Law Review. Notably, he was an Atlas Fellow and a Rise Global Winner, experiences that signal selective fellowships and leadership in high-impact technical programs. He combines startup speed with academic rigor, often translating complex research into usable tools for scientists and product teams.
9 years of coding experience
4 years of employment as a software developer
Canyon Crest Academy
Bachelors Computer Science, Bachelors Computer Science at Stanford University
Portuguese, Spanish, Chinese, English