I am a scientist and engineer focused on accelerating drug discovery with AI/ML, computational chemistry, and software. I have contributed to 10+ small molecule and antibody programs spanning target identification to drug development, collaborating with academic, biotech, and pharmaceutical partners. I’m drawn to drug discovery because I thrive in an interdisciplinary environment — 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. I have contributed to programs resulting in IND-enabling study readiness and led completion of multi-million dollar collaborations.

AI/ML & Software Engineering

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

Chemistry & Physical Modeling

My foundation is in 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.

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Disclaimer: This site contains my personal views / projects and does not represent my employer.