I am an Assistant Professor In-Residence in the Department of Epidemiology and Biostatistics at the University of California, San Francisco. My research interests include the interpretability and reliability of machine learning methods for biomedical applications, particularly those involving black-box models.
I completed my Ph.D. in Biostatistics under Noah Simon and Erick Matsen at the University of Washington. Before that, I studied computer science at Stanford and was a software engineer at Coursera.
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News
- Romain Pirracchio and I have received a grant from the UCSF-Stanford CERSI program for our proposal “Safe algorithmic change protocols for modifications to AI/ML-based Software as a Medical Device”. This grant will be done in close collaboration with Berkman Sahiner and Alexej Gossmann from the US FDA.
Tutorials and Short Courses
- Nov 2020: I taught a short course on supervised statistical learning with Ali Shojaie on November 15th at the 6th Seattle Symposium in Biostatistics. (Slides)
- August 2020: I taught a short course on machine learning for biomedical and health data with Noah Simon and Cody Chiuzan.