I am a scientist and engineer focused on developing and applying machine learning, informatics, computational chemistry, and agentic methods for drug discovery. I am drawn to drug discovery because I thrive in an interdisciplinary research environment and love breaking down challenging problems, developing useful applications of new technology, and understanding the mechanisms driving complex systems.

Areas of Expertise

Drug Discovery & CADD

My work spans the drug discovery pipeline from phenotypic target identification and large-scale virtual screening to hit-to-lead, lead optimization, ADMET/DMPK profiling, and drug development. I have experience with small molecules, targeted protein degradation, and antibody engineering.

AI/ML & Software Engineering

I design, build, and deploy machine learning and informatics software for drug discovery. Current areas of focus include Bayesian optimization, uncertainty estimation, deep learning, generative design, agentic systems, large-scale simulation, knowledge graphs, automated retrosynthesis, and cloud-native software.

Chemistry & Physical Modeling

My research foundation is in experimental synthetic and physical chemistry, with expertise in organic synthesis, catalysis, photochemistry, and quantum mechanical modeling. This training informs my approach to structure-activity relationships and mechanism-driven design.

Disclaimer: This site contains my personal views and ideas. It does not represent my employer.