Dr Valdes, PhD is an assistant professor with dual appointment in the departments of Radiation Oncology and Epidemiology and Biostatics at University of California, San Francisco. He obtained his PhD in Biomedical Physics from University of California, Los Angeles. He pursued postdoctoral training at University of California San Francisco and later did his clinical residency in Therapeutic Radiological Physics at University of Pennsylvania. He is board certified Therapeutic Radiological Physics by the American Board of Radiology. Currently he serves as an associate editor of the Journal of Medical Physics and The British Journal of Radiology. He is a member of the Biological Effects Subcommittee and the Machine Learning Subcommittee of the AAPM. He has published over 40 peer reviewed papers. He has both theoretical and applied research interests. His main research focus are the applications of Machine Learning to Radiation Oncology and the development of new statistical procedures. He is currently funded by the NIH under a K08 award number K08EB026500 to develop accurate and interpretable machine learning algorithms.