I'm a Senior AI Scientist in the Office of the CTO at the Allen Institute, where I work on multi-modal deep learning for biomedicine. I also hold an appointment as an Adjunct Assistant Professor in the Dept. of Urology at UCSF. My research interests include physics-based computational imaging, deep representation learning, and generalization properties of deep networks in scientific applications.
Previously, I was a Senior Scientist at Altos Labs, a Senior Analyst at Toyon Research, and a NIH-F32 Postdoctoral Fellow in the Dept. of Radiology and Biomedical Imaging at UCSF where I developed robust machine learning algorithms for multi-modality cancer imaging, disease stratefication, and radiotherapy. planning.
Previously, I was a Senior Scientist at Altos Labs, a Senior Analyst at Toyon Research, and a NIH-F32 Postdoctoral Fellow in the Dept. of Radiology and Biomedical Imaging at UCSF where I developed robust machine learning algorithms for multi-modality cancer imaging, disease stratefication, and radiotherapy. planning.
Education
Ph.D., Electrical and Computer Engineering (2014-2019)
University of California, Santa Barbara
Advisor: Dr. Shivkumar Chandrasekaran
Thesis: High-Dimensional Polynomial Approximation with Applications in Imaging and Recognition
M.S., Electrical and Computer Engineering (2014-2016)
University of California, Santa Barbara
Advisor: Dr. Shivkumar Chandrasekaran
B.S., Electrical Engineering (2010-2014)
University of California, Los Angeles
Advisor: Dr. Diana L. Huffaker