Stanford University
Showing 831-840 of 2,686 Results
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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.
