Stanford University
Showing 841-860 of 2,728 Results
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Zainab Hosseini
Postdoctoral Scholar, Psychology
Current Research and Scholarly InterestsCulturally - contextually responsive psychosocial support services for refugees
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Xuandi Hou
Postdoctoral Scholar, Materials Science and Engineering
BioXuandi Hou's research focuses on integrating nanotools and physical stimuli to gain insights into neural circuits and achieve precise remote manipulation of neural activity. His ultimate aspiration is to develop comprehensive toolkits that facilitate the exploration of the biophysical mechanisms underlying non-invasive transcranial ultrasound brain stimulation, offering applications in both neuroscience and neurology.
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Yifan Hou
Postdoctoral Scholar, Electrical Engineering
BioI am a Post Doctoral researcher working with Prof. Shuran Song at Stanford Electric Engineering. Prior to joining Stanford, I spent three years as an Applied Scientist at Amazon Robotics working on the Stow project. I obtained my PhD and MS degrees from the Robotics Institute at Carnegie Mellon University, obtained BoE from the department of Automation at Tsinghua University. I had also spent time interning at Toyota Research Institute and MIT.
I work on robotic manipulation. I am currently interested in the intersection of data-driven visual motor policies and model based compliance control. -
Alyssa Michelle Howren
Postdoctoral Scholar, Epidemiology
BioAlyssa Howren is a Postdoctoral Scholar at Stanford University’s Department of Epidemiology and Population Health in the School of Medicine. She completed her MSc and PhD training at the University of British Columbia’s Faculty of Pharmaceutical Sciences during which she was a trainee at Arthritis Research Canada. Her PhD training was supported by a Canadian Institutes of Health Research (CIHR) Doctoral Award, along with UBC’s Wayne Riggs Interdisciplinary Scholarship in Pharmaceutical Sciences and Andrew Nord Fellowship in Rheumatology. Her research focuses on using multiple data sources to provide evidence to disentangle the complex relationship between depression and anxiety with inflammatory arthritis and assess how people living with inflammatory arthritis are treated for their comorbid mental disorders. Methodological approaches in Dr. Howren’s work have included systematic reviews, qualitative research, mixed methods, and population-based studies using linked administrative health databases. She was awarded a CIHR Fellowship for her postdoctoral research at Stanford University which aims to evaluate whether biases in clinical decision-making contribute to the sex and gender differences observed in the diagnosis of major depressive disorder.
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Chia-Hsin Hsu
Postdoctoral Scholar, General Surgery
BioDr. Chia-Hsin (Cindy) Hsu is a postdoctoral scholar in Dr. Deshka Foster's laboratory in the Department of General Surgery at Stanford University School of Medicine. She received her Ph.D. in Biomedical and Biological Sciences from Cornell University under Dr. Andrew White, where she studied how extracellular matrix remodeling and innate immune crosstalk shape tumor response to targeted therapy in BRAF-mutant melanoma. She previously earned her D.V.M. and M.S. in Veterinary Medicine from National Taiwan University. Dr. Hsu's current research focuses on two projects: developing a sustained-release hydrogel platform for localized JUN inhibition to prevent postoperative intra-abdominal adhesions, a leading cause of bowel obstruction and reoperative morbidity; and investigating stromal–tertiary lymphoid structure (TLS) crosstalk in pancreatic ductal adenocarcinoma to define how the tumor microenvironment shapes anti-tumor immunity.
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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.
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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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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.
