About Me

I am a Principal Machine Learning Scientist and Group Leader at Prescient Design • Genentech. At Prescient, my focus is on developing and applying machine learning methods to protein design. I have a PhD in Materials Science & Engineering from the University of Pennsylvania. I use multiscale modeling and machine learning to design materials and molecules. My research spans ML/AI, condensed matter physics, chemistry, biology, computation, and automation. I have published more than 20 scientific papers in journals such as Science Advances, ACS Nano, JACS, and Chemistry of Materials and conference proceedings including NeurIPS and ICLR.

I am a scientific advisor to Atomic Data Sciences and Guide Labs.

Previously, I was a Postdoctoral Associate at MIT working with the Lincoln Lab Supercomputing and AI groups. I was a National Defense Science & Engineering Graduate Fellow in the Shenoy group at UPenn and an affiliate scientist with Kristin Persson’s Materials Project group at Berkeley Lab.

Please feel free to contact me if you have any questions about my work or want to get in touch.