Mark Genovese, MD

Dr. Wendy DeMartini is a Professor in the Department of Radiology at Stanford University School of Medicine. She currently serves as the Associate Chair for Clinical Faculty Affairs in the Department of Radiology, and is the past Division Chief of Breast Imaging. Her work is focused upon high quality patient care, clinical research and education. Dr. DeMartini completed her fellowship in Breast Imaging at the University of Washington School of Medicine in Seattle, Washington. She then served as Breast Imaging faculty at the University of Washington where she became Associate Professor and Associate Director of Clinical Services, and at the University of Wisconsin where she became Professor and Chief of Breast Imaging. Dr.

Dr. Hauser is the Obesity Medicine Director of the Medical Weight Loss Program in the Stanford Lifestyle and Weight Management Center, formerly known as the Stanford Bariatric Surgery and Medical Weight Loss Clinic. She is a board-certified specialist in internal medicine and lifestyle medicine. She also holds the position of Clinical Associate Professor of Medicine, General Surgery, and by courtesy, Primary Care and Population Health. Beyond delivering patient care and medical education, Dr. Hauser is a prevention researcher and Le Cordon Bleu-trained chef. She combines her skills to help patients move away from lifestyles that lead to chronic disease and toward those that promote health and well-being.

Dr. Bui is a Clinical Associate Professor of Medicine at the Stanford Cancer Institute and a specialist in Sarcoma. Dr. Bui earned an undergraduate degree in Computer Science at Stanford University and went on to earn his medical degree from the University of Texas Southwestern Medical Center. He completed Internal Medicine residency at Stanford Hospital and Hematology/Oncology fellowship at the University of California San Diego, where he performed extensive research in bioinformatics to analyze tumor sequencing data. His research background and interests are in the field of bioinformatics as applied to large data sets and the study of novel compounds in rare malignancies.