CV

Also available as a PDF.

Education

• Ph.D. Materials Science & Engineering, University of Pennsylvania, 2016 - 2021
• M.A. Physics, Boston University, 2014 - 2016
• B.Sc. Physics and Mathematics, Summa Cum Laude & Honors in Physics, University of Missouri, Columbia, 2010 - 2014

Work experience

• Prescient Design, Genentech, New York, NY
  Principal Machine Learning Scientist & Group Leader, 2022 - Present
  • Invented and applied new generative machine learning methods and property prediction oracles that are in production usage for “lab-in-the-loop” autonomous antibody design.
  • Led a team of machine learning scientists and engineers to conduct high-impact research in ML and biology and contribute to active pipeline projects.
• Massachusetts Institute of Technology, Cambridge, MA
  Postdoctoral Associate, 2021 - Present
  • Postdoc with the Lincoln Laboratory Supercomputing and AI groups.
• University of Pennsylvania, Philadelphia, PA
  National Defense Science & Engineering Graduate Fellow, 2016 - 2021
  • Applied multiscale modeling techniques including density functional theory, molecular dynamics, and finite element analysis to computational design of two-dimensional quantum materials and transition-metal oxide battery materials.
  • Developed framework using positive and unlabeled machine learning and high-throughput first-principles calculations to predict synthesizability of novel bulk and two-dimensional materials.
• AtomicAI, Philadelphia, PA
  Co-founder, 2020 - Present
  • Building data science solutions for bio- and nano-tech companies.
  • Providing data analytics and AI strategy consulting.
• Lawrence Berkeley National Laboratory, Berkeley, CA
  Affiliate Scientist, 2019 - 2020
  • Contributed to the Materials Project by building an automated graph-based and machine learning workflow for predicting properties of magnetic and topological materials as a visitor in the Persson group.

Skills

• Python, Bash, High performance computing, Git, Unix, AWS (EC2, S3, Fargate, CDK, SageMaker), SQL, MongoDB, Mathematica, LaTeX, Machine learning, Keras, TensorFlow, Inkscape, Blender, Conversational Japanese.

Publications

• Google Scholar

Service and leadership

• National Science Foundation Research Mentor, 2016 - Present
  Boston, MA and Philadelphia, PA
  • Mentored high school teachers and undergraduates from underrepresented groups during summer research experiences.
• Project Manager, 2016 - 2018
  Weiss Tech House Innovation Fund, University of Pennsylvania, Philadelphia, PA
  • Sourced, assessed, and advised early-stage student-run startups through weekly coffee chats with founders.
  • Funded select startups after evaluating pitches and round-table discussions.