Resume
Experience
Chief Technology Officer / VP, Technology and Data Science
ArrePath, Inc. · 2021 – Present
Second employee and CTO of a seed-stage ML-enabled antibiotic discovery company. Built agentic AI systems, ML-guided compound design, and scalable AWS data infrastructure. Led a fully-remote technical team integrating wet lab scientists, ML engineers, and platform developers.
- Built agentic AI system orchestrating 30+ ML models and cheminformatics tools via natural language
- Deployed ML-guided workflows where AI-generated compounds matched or exceeded medicinal chemist designs
- Developed first-in-class ML models for oral bioavailability, cytotoxicity, and antibacterial activity
- Architected S3 data lake with >100M compounds and AWS Batch for 40+ job ML pipelines
- Advanced licensed image-based phenotyping to automated 384-well plate screening
Senior Director, Data Science / Director, Data Science
Zymergen, Inc. · 2017 – 2021
Led a 30-person Data Science organization supporting HTS analytics, ML-guided strain and protein design, product-property prediction, and technoeconomic modeling. Reorganized fragmented modeling functions into a unified team with shared standards.
Associate Adjunct Professor / Assistant Adjunct Professor
UCSF, Department of Biochemistry and Biophysics · 2008 – 2017
Principal investigator on an R01 grant. Managed a lab developing a novel microfluidics + microscopy assay platform. Inaugural director of the Nikon Imaging Core serving 300 researchers/year.
Research Fellow
Harvard University, Bauer Center for Genomics Research · 2001 – 2006
Education
Ph.D. in Biophysics — University of California, San Francisco
B.A. in Chemistry — Princeton University
Skills & Technologies
Publications
35 publications; h-index 31. Full list on Google Scholar.
Inventor on 5 patents.