CV

General Information

Full Name Jonathan Paul Deaton
Address 1125 Park Place, Apt 215, San Mateo CA
Phone (413) 531-1568
Email jonpauldeaton@gmail.com

Education

  • 2018 - 2019
    Masters of Science - Computer Science
    Stanford University
    • Artificial Intelligence
    • Course Assistant
      • CS 161 Design and Analysis of Algorithms
      • CS 140 Operating Systems and Systems Programming
  • 2012 - 2018
    Bachelors of Science - Bioengineering
    Stanford University
    • Graduated with Honors for research thesis and GPA.

Experience

  • 2021 - Present
    Research Engineer
    Google X, Mountain View, California
    • Research in applied ML for computational biology / molecular design.
    • Designed and built Large Language Model distributed training system in JAX. Enabled T5 architectures via T5X, up to 5x training throughput speedup, superior ML algorithm expressiveness and data-scaling.
    • Delivered model/method that significantly outperformed existing methods in molecular design.
    • Introduced decoder-only generative LLM and fine-tuning algorithm for active-learning molecular design.
    • Tested Equivariant euclidian graph neural networks (EGNNs) for structural molecular modeling and biomolecule design.
    • Hosted AI resident Frances Ding.
  • 2019 - 2021
    Software Engineer
    Google Health / Research
    • Productionized ML computer-vision dermatological condition classification system, gaining regulatory approval as CE-marked Class I medical device.
    • Lead development of software systems for evaluation and validation of ML models.
    • Wrangled difficult medical datasets and solved technical modeling hurdles.
    • Designed and conducted research studies improving and advancing understanding of state-of-the-art ML models, publishing research findings.
    • Hosted research intern Wei-Hung Weng in project on negative interference.
  • 2018
    Software Engineering Intern
    Bigstream, Mountain View CA
  • 2018
    Graduate Research Assistant
    Stanford Network Analysis Platform (SNAP), Stanford University
  • 2017
    Software Test Engineer
    Illumina Inc., San Diego, California
  • 2014 - 2017
    Undergraduate Bioengineering Researcher
    Quake Lab, Stanford University
  • 2016
    Research Associate Intern
    Protein Engineering Group, Illumina Inc., San Diego, California

Open Source Projects

  • 2018-now
    AgarLE
    • Agar.io OpenAI Reinforcement Learning Environment

Academic Interests

  • Machine Learning
    • Equivariant Euclidian Graph Neural Networks (EGNNs)
    • Large Language Models for computational biology.
    • Structural molecular modeling
    • Diffusion Generative Models

Honors and Awards

  • 2017
    • Tau Beta Pi National Engineering Honors Society Member
  • 2015
    • NCAA First Team Academic All American
  • 2014
    • NCAA First Team Academic All American
  • 2013
    • NCAA First Team Academic All American
  • 2013
    • Lincoln D. Granniss Yale University Scholarship
    • Dwight Church Award for the Outstanding Senior

Volunteer Work

  • Clinical Volunteer
    • I volunteered in a neurology unit at the Stanford Hospital and Clinics where I helped nurses and secretaries accomplish tasks throughout the unit. I also interacted with patients and their friends and family to improve their overall experience at the hospital.

Other Interests

  • Cycling, Rock Climbing, Math.