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The Team

Four scientists. One mission.

DrugSynq's founding team combines deep experience in free energy calculations, molecular dynamics, ADMET modeling, and high-performance computing infrastructure for large-scale simulation.

Leadership team

Dr. Maya Patel, CEO and Co-founder of DrugSynq

Dr. Maya Patel

CEO & Co-founder

Ph.D. Computational Chemistry, Stanford. Former Schrödinger postdoc and UCSD faculty affiliate. 12 years in FEP methodology development. Principal author on the DrugSynq FEP validation paper in J. Chem. Inf. Model.

Ravi Krishnamurthy, Head of Computational Infrastructure at DrugSynq

Ravi Krishnamurthy

Head of Computational Infrastructure

M.S. Computer Science, Carnegie Mellon. Former senior ML engineer at Genentech, specializing in GPU cluster optimization for molecular dynamics workloads. Designed the DrugSynq distributed FEP job scheduler.

Dr. Sophie Chen, Head of ADMET Modeling at DrugSynq

Dr. Sophie Chen

Head of ADMET Modeling

Ph.D. Pharmaceutical Sciences, UCSF. 8 years in ADMET prediction and molecular property modeling. Led model development for the DrugSynq 12-endpoint ADMET suite. Co-author on JACS Au ensemble model publication.

Marcus Andersen, Head of Bioinformatics Infrastructure at DrugSynq

Marcus Andersen

Head of Bioinformatics Infrastructure

M.S. Bioinformatics, DTU Copenhagen. Former principal engineer at Novo Nordisk R&D informatics. Joined DrugSynq in 2023 to build the production API, ELN integration layer, and customer data pipeline.

Scientific Advisory

Guided by the computational chemistry community.

Our scientific advisors provide independent review of our methodology and validation protocols. They do not have financial relationships with DrugSynq that create conflicts of interest.

Prof. James Liu, Ph.D.
Computational Chemistry

Professor of Computational Chemistry at MIT. Expert in free energy perturbation methodology and force field development.

Dr. Sarah Okonkwo, Ph.D.
Drug Metabolism & ADMET

Former Director of DMPK at Amgen. 20 years in ADMET screening and preclinical drug safety assessment.

Join Us

Open positions.

Computational Chemist — FEP
San Diego, CA · Full-time
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Machine Learning Engineer — ADMET
San Diego, CA · Full-time
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Scientific Customer Success
Remote or San Diego, CA · Full-time
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Don't see your role? Email [email protected] with your background.