Dr. Gilmer Valdes received his PhD in medical physics from the University of California, Los Angeles, in 2013. He was a postdoctoral fellow with the University of California, San Francisco between 2013–2014 and a medical physics resident from 2014 to 2016 with the University of Pennsylvania. He is currently an associate professor with dual appointments in the Department of Radiation Oncology and the Department of Epidemiology and Biostatistics at the University of California, San Francisco. His main research focus is in the development of algorithms to satisfy special needs that machine learning applications have in medicine.