Stanford University
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Manchen Hu
Visiting Postdoctoral Scholar, Electrical Engineering
BioDr. Manchen Hu is a researcher in optoelectronics and advanced photonic devices, with a strong background in light–matter interactions, nanophotonics, and next-generation light-emitting devices. Dr. Hu received his PhD in Electrical Engineering from Stanford University.
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Qi Hu
Postdoctoral Scholar, Energy Science and Engineering
BioI am a postdoctoral scholar collaborating with Tapan Mukerji on developing innovative workflows for monitoring subsurface CO2 sequestration. My research primarily involves integrating advanced seismic inversion techniques, such as full-waveform inversion, with rock physics and fluid dynamics to glean insights into subsurface structures and behaviors. Additionally, I am intrigued by the potential of distributed acoustic sensing and machine learning algorithms in various topics related to energy transition.
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Rona Hu
BioDr. Hu is Medical Director of the Acute Psychiatric Inpatient Unit at Stanford Hospital, specializing in the care of those with serious mental illnesses, including schizophrenia, bipolar and depression. She completed medical school and residency in psychiatry at the University of California, San Francisco, and fellowships in Pharmacology and Schizophrenia Research through the National Institutes of Health. She is also active in the minority issues and cultural psychiatry, and has received regional and national recognition for her clinical care, research and teaching.
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Serena Hu, MD
Professor of Orthopaedic Surgery and, by courtesy, of Neurosurgery
BioDr. Hu is a board-certified, fellowship-trained orthopaedic spine surgeon. She is professor and vice chair of the Department of Orthopaedic Surgery and (by courtesy) Neurosurgery, and chief of the Division of Spine Surgery at Stanford University School of Medicine. Dr. Hu completed her orthopedic surgery residency at the Hospital for Special Surgery in New York and her fellowship training in spine and scoliosis surgery at Rancho Los Amigos Rehabilitation Center in Downey, California.
Dr. Hu has extensive experience helping patients with a range of spinal conditions and injuries. She specializes in treating scoliosis (when the spine curves sideways), kyphosis (when the spine is more bent forward than normal) lumbar spine fractures, spondylolisthesis (when a vertebra moves out of place), disc degeneration, and spinal stenosis (spinal canal narrowing). Dr. Hu draws on her expertise to create a customized care plan for each of her patients.
Dr. Hu has been the principal investigator in more than a dozen clinical trials and studies. She has been awarded multiple research grants from the North American Spine Society, Scoliosis Research Society, and the National Institutes of Health (NIH). Her research interests include the effects of preoperative pain medication on surgical outcomes as well as decreasing the risk of complications after spine surgery. She has also studied and tested new technologies that make spine surgery safer and more effective.
She has published more than 145 articles in dozens of peer-reviewed journals, including Global Spine Journal, Journal of Spine Surgery, Spine, and Spine Deformity. She has written about a range of topics, including quality measures in spine surgery, spinal fusion techniques, spine tumor effects on spine stability and lumbar decompression for spinal stenosis. Additionally, Dr. Hu has written more than a dozen book chapters on spinal cord injuries, spine fractures, pediatric kyphosis, spondylolysis (vertebra fracture), and scoliosis.
Dr. Hu has reviewed articles for Clinical Orthopaedics and Related Research, Journal of the American Academy of Orthopaedic Surgeons: A Comprehensive Review, and Spine. She has also served as associate editor for Spine Deformity and deputy editor for Global Spine Journal.
Having delivered hundreds of presentations, papers, and lectures, Dr. Hu is widely considered one of the world’s leading experts in spine surgery. She has been invited to lecture to her colleagues all over the United States and around the world, including in Hong Kong, Canada, Brazil, Australia, Argentina, and Greece.
Dr. Hu is a member of multiple professional organizations, including the American Academy of Orthopaedic Surgeons, American Orthopaedic Association, International Society for the Study of the Lumbar Spine, Orthopaedic Research Society, and Scoliosis Research Society. She is past president of the Scoliosis Research Society as well as of the American Orthopedic Association. -
Wanheng Hu
Postdoctoral Scholar, Philosophy
BioWanheng Hu is a scholar of Science and Technology Studies (STS) whose research examines the epistemic, ethical, and regulatory dimensions of artificial intelligence, with a particular focus on machine learning in medicine. His current book project, Reassembling Expertise: Credible Knowledge and Machine Learning in Medical Imaging, is an ethnographic study of the Chinese medical AI industry. Drawing on multi-sited fieldwork, the project analyzes how, and in what sense, human medical expertise is translated into AI systems and how the credibility of these systems is negotiated across industrial, clinical, and regulatory settings. His broader scholarship engages the social studies of science, medicine, and technology; the sociology of expertise; critical data and algorithm studies; media studies; and public engagement with science.
Wanheng is currently an Embedded Ethics Fellow at Stanford University’s McCoy Family Center for Ethics in Society, in partnership with the Institute for Human-Centered Artificial Intelligence (HAI) and the Department of Computer Science. He is also an affiliate of the Data & Society Research Institute, a member of the Schwartz Reisman Institute’s AI & Trust Working Group at the University of Toronto, and a member of Cornell University’s Artificial Intelligence, Policy, and Practice (AIPP) initiative. He was previously a Fellow at Harvard Kennedy School’s Program on Science, Technology and Society (2022–23). He holds a Ph.D. in STS with a minor in Media Studies from Cornell University. His research has been supported by the U.S. National Science Foundation, the China Times Cultural Foundation, and Cornell’s Hu Shih Fellowship, among other sources, and has appeared in venues including Public Understanding of Science and The Oxford Handbook of the Sociology of Machine Learning.
