I'm a Senior AI Scientist in the OCTO-AI group at the Allen Institute, where I work on multi-modal deep learning for biomedicine. My research interests include physics-based computational imaging, representation learning, and generalization properties of deep networks in scientific applications.
I also hold appointments at the Dept. of Urology at UCSF (Adjunct Assistant Professor) and Toyon Research (Senior Analyst) where I am translating solutions for high resolution intelligence in defense and healthcare.
Previously, I was a Senior Scientist at Altos Labs and a NIH-F32 Postdoctoral Fellow in the Dept. of Radiology and Biomedical Imaging at UCSF where I worked on robust machine learning algorithms for multi-modality cancer imaging, disease stratification, and radiotherapy planning.
I also hold appointments at the Dept. of Urology at UCSF (Adjunct Assistant Professor) and Toyon Research (Senior Analyst) where I am translating solutions for high resolution intelligence in defense and healthcare.
Previously, I was a Senior Scientist at Altos Labs and a NIH-F32 Postdoctoral Fellow in the Dept. of Radiology and Biomedical Imaging at UCSF where I worked on robust machine learning algorithms for multi-modality cancer imaging, disease stratification, 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