Latest information on COVID-19
Support teaching, research, and patient care.
I am an MD/PhD student focusing on machine learning, with a particular eye towards problems relevant to oncology, medical imaging, and neurology/neurosurgery.
I am an MD/PhD candidate in Biophysics at Stanford University, and work with Olivier Gevaert in the Department of Biomedical Data Science and the Center for Artificial Intelligence in Medicine and Imaging. <br/><br/>My research interests are broadly in the development of theoretical and applied solutions to problems at the intersection of machine learning and medicine. In particular, my current work is in representation learning and computer vision (both primarily for brain MRI scans), and I've recently started working on privacy-preserving machine learning. <br/><br/>Previously I've worked in such areas as theoretical biophysics (with Shamit Kachru at Stanford), algorithms for computational neuroscience (with Ralf Wessel and Benjamin Moseley at WUStL), inverse optimization (with Alejandro Rodriguez at Princeton), and computational drug design (with Matt Jacobson at UCSF). <br/><br/>I graduated from the dual degree program at Washington University in St. Louis in 2018, with three B.S. degrees respectively in physics (with a biophysics concentration), computer science, and systems engineering.