Summary
Lan Guo is an applied scientist with 11 years of experience at the intersection of neuroscience, biology, and machine learning, focused on accelerating drug discovery by maximizing the value of biological data. After a decade generating and analyzing experimental data in academia, she transitioned in 2018 to building data pipelines, predictive models, and data-centric platforms for biotech, leading data efforts at startups like Modulus Therapeutics and Shape Therapeutics. She has hands-on experience bridging computational and experimental teams, scaling cloud infrastructure, and deploying GenAI solutions for drug discovery at AWS and enterprise AI products at Oracle. Lan combines deep domain knowledge from a Ph.D. in neuroscience with practical software and ML engineering skills, and she’s particularly interested in lab automation and lab data management to streamline high-throughput discovery.
10 years of coding experience