Amy W.

Senior ML Scientist at Lila Sciences

San Francisco Bay Area

About

10 years of wet lab training with deep computational expertise in biophysics and ML. At GNE, I build cross-functional computational platforms and developed antibody engineering strategies now used across the large molecule portfolio.

Experience

  • Senior ML Scientist at Lila Sciences
    Jun 2026 - Present · 2 mos

  • Genentech (Full-time · 3 yrs 4 mos)
    • Senior ML Scientist II
      Sep 2025 - Jun 2026 · 10 mos

    • Senior ML Scientist
      Mar 2024 - Sep 2025 · 1 yr 7 mos

    • Structural & Computational Biologist
      Mar 2023 - Mar 2024 · 1 yr 1 mo

  • Stanford University (4 yrs 3 mos)
    • Graduate Student Researcher
      Apr 2019 - Mar 2023 · 4 yrs

      Advisors: William Weis (Structural Biology) and Alex Dunn (Chemical Engineering/Biophysics)

    • Graduate Teaching Assistant
      Apr 2021 - Jun 2021 · 3 mos

      Teaching assistant for CHEMENG 320: Chemical Kinetics and Reaction Engineering, a graduate-level core course in the Chemical Engineering department. Prepared problem sets and solutions, held weekly office hours, graded assignments and exams, and advised students on independent COVID-19 modeling projects.

    • Graduate Teaching Assistant
      Apr 2020 - Jun 2020 · 3 mos

      Teaching assistant for CHEMENG 320. Prepared problem sets and solutions, graded assignments, held weekly office hours, and advised students on independent computational projects.

  • Research Intern at Microsoft
    Jun 2022 - Sep 2022 · 4 mos

    Assessed whether incorporating biophysical features in graph-NN models improved protein property prediction. Advised by Kevin Yang, Ava Amini, and Alex Lu in the BioML group.

  • Massachusetts Institute of Technology (Cambridge, MA)
    • Undergraduate Student Researcher
      Feb 2016 - May 2018 · 2 yrs 4 mos

      Advisor: Bradley Olsen Investigated molecular interactions governing globular protein-block copolymer self-assembly. Synthesized a wide range of thermoresponsive protein-polymer conjugates, and contributed to the discovery that increasing protein molecular weight improved nanostructure ordering. Developed protein activity assays and modeled kinetic parameters to uncover the structure-function relationship of self-assembled nanostructures. Demonstrated that higher depletant concentrations corresponds to stronger ordering, and that the quality of lamellar phase ordering improved with increasing depletant molecular weight. Presented findings at the 2017 AIChE National Conference.

    • Undergraduate Student Researcher
      Sep 2014 - Jan 2016 · 1 yr 5 mos

      Advisor: Robert Langer Synthesized nanoparticles and characterized protein-polymer interactions to improve drug loading and release for oral insulin delivery. Contributions led to authorship on ACS Applied Materials & Interfaces publication, which described the impact of electrostatic interactions between insulin and a pH-sensitive biodegradable polymer on drug loading and release.

    • Undergraduate Student Researcher
      Jun 2015 - Nov 2015 · 6 mos

      Advisor: Daniel Anderson Characterized effects of chemistry modifications and fabrication processes on in-vitro insulin release and in-vivo response of diabetic mice to inform materials design decisions for a pancreas-on-a-chip device. Contributions led to authorship on Nature Biomedical Engineering publication.