Stanford University
Showing 851-900 of 2,728 Results
-
Jiaqi Hu
Postdoctoral Scholar, Cardiovascular Medicine
BioJiaqi Hu is a Postdoctoral Scholar at Stanford University, supervised by Drs. Tim Assimes and Shoa Clarke. She received her PhD in Chronic Disease Epidemiology from the Yale School of Public Health in 2026 and her Bachelor of Arts degree from Peking University in 2021. Her research focuses on identifying genetic variants underlying complex diseases, applying polygenic scores for disease risk prediction and subtype identification, and integrating genetic, environmental, and clinical data to improve individual-level risk stratification.
-
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.
-
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. -
Brice Huang
Postdoctoral Scholar, Statistics
BioBrice Huang is a Stanford Science Fellow and NSF postdoctoral fellow in the Department of Statistics, hosted by Andrea Montanari. He received his PhD in Electrical Engineering and Computer Science at MIT advised by Guy Bresler and Nike Sun.
-
Pei Huang (黄 沛)
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsAutomated Reasoning, Trustworthy AI, Neural Symbolic Methods, Constraint Solving
-
Rongting Huang
Postdoctoral Scholar, Pathology
BioDr. Huang is a computational biologist with academic interests in cancer genomics and spatial biology, particularly in the field of gynecologic cancers. During her Ph.D. under the mentorship of Dr. Yuanhua Huang, she developed statistical methods to detect allele-specific somatic copy number variations from single-cell and spatial transcriptomic data, aiming to understand genetic diversity in biological systems. Currently, her research focuses on advancing gynecologic cancer studies and women’s health through spatial technology platforms, computational modeling, and innovative data visualizations to uncover meaningful insights.
Outside of research, she enjoys hiking, rock climbing, and calligraphy, which help her stay creative and balanced. -
Wouter Huiting
Postdoctoral Scholar, Chemical and Systems Biology
BioWouter received his training at the University of Groningen, the Netherlands. Here he obtained a B.Sc.and M.Sc. in Human Movement Sciences (2008-2015), followed by a M.Sc. in Clinical and Molecular Neurosciences (2014-2016). He performed his doctoral research at the University of Groningen, obtaining his PhD degree in Molecular Cell Biology in 2021. Wouter continued his research in 2022 with a position as postdoctoral scholar at the Jarosz lab, at the department of Chemical and Systems Biology. Here he pursues his interest in the molecular forces underlying proteomic adaptation of cells and systems in development and disease. Outside of Stanford, Wouter is an avid sportsman, and likes cooking, hiking, birding, and in general loves to enjoy nature and wildlife with his wife and son.
-
Alissa Hummer
Postdoctoral Scholar, Bioengineering
BioAlissa is a Schmidt Science Fellow in the labs of Emma Lundberg and Wah Chiu. She is integrating microscopy techniques with AI to study and model cellular processes. Prior to her postdoc, Alissa completed her PhD at the University of Oxford, where she developed machine learning models for therapeutic antibody optimization and design.
-
Elima Hussain
Postdoctoral Scholar, Radiology
BioDr. Elima is working with GE Healthcare on developing rapid dual-contrast PET/MRI protocols for staging and assessment of rectal cancer. She is also working on development of AI based segmentation models for muscle and fat separation using pelvic MRI images in pelvic floor disorder patients. This project is undergoing in collaboration with Stanford AIMI center and AWS cloud computation support. Her research interests include translation of quantitative MRI and PET/MRI, radiomics, machine learning for predicting treatment response in rectal cancer, gynecologic malignancies, and inflammatory bowel diseases.
-
Noor A. Hussein
Postdoctoral Scholar, Medicine
Current Research and Scholarly InterestsMy current work aims to increase the understanding of pediatric acute onset neuropsychiatric disorder (PANS) disease mechanism and to improve the treatment options. It focuses on studying the alteration of regulatory T cells (Tregs), which are key inhibitors of autoimmunity and main regulator of inflammation, in PANS.
-
Duc Tan Huynh
Postdoctoral Scholar, Neurosurgery
BioAs a cell biologist interested in neuroscience, I am fascinated about the molecular basis of nervous system disorders that reveal therapeutic targets and/or biomarkers. My long-term research goal is to identify strategies that revert dysregulation in aging or neurodegeneration. For my postdoctoral training in the Zuchero lab (Neurosurgery), I will investigate how myelination, an essential developmental process, contributes to intelligence and neurodegeneration at the biochemical, cellular, and physiological level. I received my BSc at UCLA and my PhD at Duke University.
-
Hirotaka Ieki
Postdoctoral Scholar, Cardiovascular Medicine
BioCardiologist in Japan.
Research interest: precision medicine in cardiovascular disease. Genomics, Exposomics.