I joined Genentech in February 2023 to develop machine learning methods for small molecule drug discovery. I am working towards the goal of computationally-driven molecular design using AI, informatics, and physics based models. Prior to joining the Prescient Design team at Genentech, I completed a Chemistry PhD at Stanford University where I worked on quantum chemical simulations and machine learning. During my PhD, I spent 6 months as an AI resident at Google X in an early-stage ML-steered lab-in-the-loop team. I received my undergraduate and Master’s degree from Imperial College London in Chemistry with Molecular Physics.
In the Prescient Design small molecule team within gRED, I work at the intersection of AI and chemistry. I use machine learning algorithms to predict the properties and behaviour of potential therapeutic molecules with the goal of reducing the time and cost associated with developing new drug candidates.