School of Medicine
Showing 3,111-3,120 of 12,883 Results
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Richard E. Fan
Clinical Associate Professor, Urology
BioRichard E. Fan, Ph.D., is an engineer embedded in the Department of Urology in the Stanford School of Medicine.
Dr. Fan’s research relates to the development of clinically driven biomedical instrumentation and medical devices. He is interested in translational application of emerging technologies in the medical and surgical spaces, as well as the development of platforms to explore clinical and pre-clinical evaluation. His primary work is currently focused on image guided detection and treatment of prostate cancer, including MR-US fusion, focal therapies, embedded systems and robotics. -
Daniel Z Fang
Affiliate, Med/Hospital Medicine
BioDaniel Z Fang, MD, FACP completed his medical school training at UC San Diego School of Medicine and residency at Stanford University. He is a board-certified academic hospitalist at the VA Palo Alto Health Care System and Clinical Associate Professor (Affiliated) within the Stanford Division of Hospital Medicine.
As Assistant DCOS for Acute Care Hospital Operations, he provides administrative and clinical guidance to clinical service staff in the areas of inpatient performance, patient flow optimization, policy review, project planning, and process improvement initiatives. His professional interests include healthcare administration and quality improvement. -
Rongxin Fang
Assistant Professor of Neurosurgery and, by courtesy, of Genetics
BioRongxin Fang received his Ph.D. in Bioinformatics and Systems Biology from the University of California, San Diego, under the mentorship of Bing Ren (2015–2019). During his doctoral training, he developed high-throughput genomic technologies and computational tools to map the structure and activity of the mammalian genome at large scale and single-cell resolution. He then applied these approaches to investigate how cis-regulatory elements - such as enhancers - control gene expression and drive the diverse transcriptional programs underlying cellular diversity in the mammalian brain. As an HHMI–Damon Runyon Postdoctoral Fellow at Harvard University (2019–2024), he worked with Xiaowei Zhuang. Rongxin developed and applied genome-scale, volumetric 3D transcriptome imaging methods to map the molecular and cellular architecture of the mammalian brain across evolution and aging. He also contributed to the collaboration with Adam Cohen and Catherine Dulac to integrate transcriptome imaging with functional neuronal imaging, identifying neuronal populations in the animal brain that underlie specific brain functions.
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Zhongnan Fang
Affiliate, Rad/Pediatric Radiology
BioDr. Fang is a Principal ML Scientist in the AIDE Lab. His research interests lie in driving AI innovations in medicine, with a focus on AI model design and development, performance and robustness evaluation, and quality monitoring and debugging. Previously, he was a founding member and the Data Science Lead at LVIS corporation, pioneering personalized neurological disease treatment using cutting-edge neuroscience findings and AI technologies.
