Hi! I'm a Senior ML Scientist II at AI for Drug Discovery | Prescient Design, Genentech. My research lies at the intersection of machine learning, computational biology, and colloid physics. Within Genentech Large Molecule Drug Discovery, I develop and apply computational methods for therapeutic antibody design and optimization, with a particular interest in developability & high concentration property prediction. I am passionate about working with diverse teams at the experimental/computational interface and translating insights across disciplines. In addition to method development (see Publications), I have deep expertise in designing model-supporting experimental datasets, managing cross-functional technology development teams, and applying computational methods within pre-clinical antibody programs -- leading to 1 current GLP tox study and 4 additional program milestone transitions (for multi-specific antibodies).
I completed my PhD at Stanford University in the lab of Professor Roseanna Zia on computational rheology, protein interactions, and mesoscale cell models. I earned my Bachelor's degree in Chemical Engineering with a minor in Literature from MIT. There, I worked with the late Professor Jim Swan on a number of computational soft matter projects.
My computational training is complemented by diverse wet lab experiences - including antibody interfacial rheology in the Fuller Group at Stanford and siRNA therapeutic design & delivery at the NCI. Outside of research, I enjoy soccer, cycling, jazz, hiking with my 5 y.o. heeler mix Nomi, and trying new craft beers.
J Lin*; JL Hofmann*; A Leaver-Fay; WC Liang; S Vasilaki; E Lee; PO Pinheiro; N Tagasovska; JR Kiefer; Y Wu; F Seeger; R Bonneau; V Gligorijevic; A Watkins; K Cho; NC Frey