Session Abstract – PMWC 2022 Silicon Valley

 Session Chair Profile

Ph.D., Associate Professor, UCLA

Biography
Dr. Sung’s primary research focuses on the development of novel medical imaging methods and artificial intelligence using magnetic resonance imaging (MRI). He received a Ph.D. degree in Electrical Engineering from the University of Southern California, Los Angeles, in 2008, and from 2008 to 2012, he finished his postdoctoral training at Stanford in the Departments of Radiology. He joined the University of California, Los Angeles (UCLA) Department of Radiological Sciences, in 2012. His research interest is to develop fast and reliable MRI techniques that can provide improved diagnostic contrast and useful information. In particular, his research group (https://mrrl.ucla.edu/sunglab/) is currently focused on developing advanced deep learning algorithms and quantitative MRI techniques for early diagnosis, treatment guidance, and therapeutic response assessment for oncologic applications. Such developments can offer more robust and reproducible measures of biologic markers associated with human cancers.


 Speaker Profile

Ph.D., Assistant Professor, Stanford University

Biography
Dr. Chaudhari is an Assistant Professor in the Department of Radiology and (by courtesy) Biomedical Data Science. He is also the Associate Director of Research and Education at the Stanford AIMI Center. His primary research interests lie at the intersection of artificial intelligence and medical imaging. Dr. Chaudhari graduated from UCSD with a B.S. in Bioengineering in 2012. He completed his Ph.D. from Stanford University’s Department of Bioengineering in 2017, focusing on novel MRI methods for musculoskeletal imaging; supported through the National Science Foundation Graduate Research Fellowship, the Whitaker Fellowship, and the Siebel Fellowship. Dr. Chaudhari trained as a postdoctoral fellow in Radiology at Stanford University, where he combined machine learning with medical imaging acquisition and analysis. Dr. Chaudhari has won many awards, including the W.S. Moore Young Investigator Award, the Junior Fellow Award, and an Outstanding Teacher Award from the International Society for Magnetic Resonance in Medicine.


 Speaker Profile

M.D., Global Head of Medical AI, NVIDIA

Biography
Dr. Flores oversees NVIDIA’s AI initiatives in medicine and healthcare to bridge the chasm between technology and medicine. Dr. Flores first joined NVIDIA in 2018 with a focus on developing the healthcare ecosystem. Before joining NVIDIA, she served as the chief medical officer of digital health company Human- Resolution Technologies after a 25 + year career in medicine and cardiothoracic surgery. She received her medical degree from Oregon Health and Science University followed by a general surgery residency at the University of California at San Diego, a Postdoctoral Fellowship at Stanford, and a cardiothoracic surgery residency and fellowship at Columbia University in New York. Dr. Flores also has a Master of Biology from San Jose State and early in her career received an MBA from the University at Albany School of Business. She initially worked in investment banking for a few years before pursuing her passion for medicine and technology.