Genentech: Amy Wang | Structural & Computational Biologist, Prescient Design, Computational Sciences

Scientists / Our Scientists

Awards & Honors

I joined the De Novo team at Prescient Design in 2023. For my Ph.D., I used approaches in experimental and computational biophysics to study the mechanisms underlying force-dependent protein interactions. I became interested in developing predictive models that combine physics and ML, which I explored as an intern at Microsoft Research.

Featured Publication

Mechanism of the cadherin-catenin F-actin catch bond interaction.

eLife (Research Advance) 2022.

A Wang, AR Dunn, WI Weis.

View Abstract

Multi-level force-dependent allosteric enhancement of αE-catenin binding to F-actin by vinculin.

Journal of Molecular Biology 2022.

NA Bax^*, A Wang^*, DL Huang, S Pokutta, AR Dunn, WI Weis.

View Abstract

At Prescient, I apply my interdisciplinary background in biophysics, structural biology, and machine learning to address challenges in de novo protein design. I am deeply interested in integrating physics-based and data-based approaches to develop generalizable models for protein property prediction.

Stanford University, Ph.D. Chemical Engineering – 2023
Massachusetts Institute of Technology, S.B. Chemical Engineering – 2018

University Nominee for the Schmidt Science Fellows – 2022
Stanford Graduate Fellowship in Science & Engineering – 2018
ChemH Chemistry/Biology Interface Fellow – 2018
NSF Graduate Research Fellowship – 2018

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Amy Wang

Structural & Computational Biologist, Prescient Design, Computational Sciences

Featured Publication

Mechanism of the cadherin-catenin F-actin catch bond interaction.

Multi-level force-dependent allosteric enhancement of αE-catenin binding to F-actin by vinculin.