I received my B.S. and Ph. D. from Caltech in Chemistry, and was subsequently an Arnold O. Beckman Fellow at UCSF where I worked on new deep learning approaches for molecular design. In 2021, I joined Genentech as part of the Department of Artificial Intelligence and Machine Learning in Research Biology to develop machine learning algorithms for virtual screening and molecular optimization in close collaboration with Discovery Chemistry and Peptide Therapeutics. With the creation of Genentech Computational Sciences (gCS), my group transitioned to Prescient Design/Machine Learning for Drug Discovery. In this role, I lead a team advancing next-generation machine learning algorithms to transform molecular design.
I find great joy in guiding the professional and scientific development of the next generation of researchers. Genentech provides an exceptional environment that empowers postdocs to think creatively, take risks and make discoveries that push the frontiers of knowledge. My goal is to foster an inclusive culture where postdocs feel supported to make important scientific contributions as we advance impactful science together. It is a privilege to mentor these scientists in their journey to become future leaders in their fields.
2023, arXiv: 2305.19800 [q-bio.BM]
2020, arXiv: arXiv:2011.12820 [cs.LG]
Science. 2016, 353, 912
At Prescient Design, I lead a team that develops the next-generation of machine learning algorithms to transform drug discovery. We leverage expertise across chemistry, biology, and machine learning to address key challenges in molecular design and optimization across diverse modalities. Our research focuses on new data-driven learning approaches, inspired by the core principles of chemistry and physics. Our team aims to advance machine learning to deliver meaningful innovations that provide value to the scientific community. Critical to our success are collaborations across Genentech that provide crucial context and realistic assessment to ensure our algorithms target impactful problems. I believe this cross-disciplinary approach will drive scientific discovery and ultimately deliver new therapeutics that benefit patients.