Resume

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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

Python AWS SQL Pandas scikit-learn XGBoost RDKit Smina/Gnina Docker Athena S3 LLM Orchestration Cheminformatics Assay Design

Publications

35 publications; h-index 31. Full list on Google Scholar.

Inventor on 5 patents.