Stanford University
Showing 821-840 of 2,672 Results
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Wen Hong
Postdoctoral Scholar, Ophthalmology
BioDr. Wen Hong was a postdoctoral researcher at UCLA, specializing in 3D printing of metals, hydrogels, and liquid metal. She earned her Ph.D. in Electrical Engineering from Shanghai Jiao Tong University, where she focused on flexible and implantable MEMS devices. Her research integrates materials science, bioelectronics, and soft robotics to develop innovative biomedical devices.
Her work covers high-resolution light-based 3D printing, self-adaptive cardiac optogenetics, and multifunctional flexible sensors. With expertise in cleanroom fabrication, semiconductor failure analysis, and finite element modeling, she has contributed to advancing bio-integrated technologies. Her research has been published in journals such as Science Advances and Sensors and Actuators A. Her long-term research goal is to push the boundaries of bioelectronics and soft robotic systems for healthcare applications. -
Yusuke Hori, MD
Clinical Instructor, Neurosurgery
BioDr. Hori received his MD from Sapporo Medical University, Japan, and during that time he served as a Medical Student Research Fellow in the Department of Pharmacology. He explored the functional role of the SIRT1 gene, a longevity-associated gene, and its association with various conditions such as muscular dystrophy. He also completed a Visiting Student Research Fellowship at the Health Sciences University of Hokkaido and participated in Human Genetics projects focusing on an association between the 27-bp deletion and 538G>A mutation in the ABCC11 Gene.
After graduating from medical school, Dr. Hori completed a neurosurgery residency at National Hospital Organization Okayama Medical Center in Japan. Subsequently, he completed a Stereotactic and Functional Neurosurgery Fellowship and then a Neurosurgical Oncology and Radiosurgery Fellowship at The Cleveland Clinic. He also completed an International Neurosurgery Fellowship at Boston Children's Hospital, Harvard Medical School. In 2022, he moved to Stanford University as a postdoctoral fellow, and under the supervision of Dr. Anca Pasca, he participated in brain organoid research focusing on hypoxic brain injuries.
Since July 2023, Dr. Hori has been working as a Clinical Instructor (Neurosurgical Oncology and Radiosurgery) in the Department of Neurosurgery at Stanford under the supervision of Dr. Steven D. Chang. His clinical interests include malignant brain and spine tumors in both adult and pediatric patients. His clinical research focuses on the application of minimally invasive treatments such as laser interstitial thermal therapy, focused ultrasound, and radiosurgery to treat various neurosurgical conditions. His current lab research aims to develop an organoid model for radiation-induced brain injuries and a high-throughput screening platform to identify novel therapeutic compounds, for which he received a Clinician Educator Grant from Stanford University Maternal and Child Health Research Institute. Outside of medicine, he enjoys playing music including guitar and drums. -
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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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.
