School of Medicine
Showing 11-20 of 31 Results
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Yi Liu
Postdoctoral Scholar, General Surgery
BioDr. Liu is a postdoc fellow at Stanford University School of Medicine. She is also a Chinese board-certificated, fellowship-trained clinician with demonstrated clinical and research expertise in Critical Care Medicine and interdisciplinary studies of nanomedicine.
She received her residency and fellowship training (Emergency Medicine & Intensive Care Medicine) at Chongqing Medical University (China) and sub-internship in Sorbonne Université (Pitié-Salpêtrière Hospital, Paris, France) and Tiantan Hospital (Beijing, China). In addition to her MD degree, She undertook PhD training in nanomedicine for cancer/infectious disease early detection and to identify potential new treatments for severe infectious/cancer patients. Her postdoctoral training in nano-enabled therapeutic at Stanford has helped advance her knowledge of how nanotechnology improve the application of nanomedicine in early diagnosis of diseases. She has published numerous articles on a wide range of nanoplatforms-related topics. She has also received several academic and teaching awards related to clinical skills and research on molecular imaging. -
Jasmin Moshfegh
Postdoctoral Scholar, General Surgery
BioJasmin Moshfegh is a Postdoctoral Scholar at the Department of Surgery at Stanford University. She received her PhD in Health Policy from Stanford University in 2024. In her current research she studies the consequences of healthcare innovation. Jasmin is a previous AHRQ T32 fellow and an AHRQ R36 awardee.
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Kenneth Nieser
Postdoctoral Scholar, General Surgery
BioKen Nieser is a postdoctoral research fellow through the Big Data-Scientist Training Enhancement Program (BD-STEP) at the Palo Alto VA and in the Department of Surgery, Stanford School of Medicine. Ken received a BA in Physics and Mathematics from Swarthmore College and a PhD in Epidemiology with a minor in Statistics from the University of Wisconsin-Madison. During his PhD, Ken developed and applied statistical methods for improving algorithmic fairness of data analyses used to inform screening and treatment of mental illnesses. These projects included development of an approach for detecting sample subsets with differential psychological symptom patterns and a sample representation reweighting method for improving the precision of subgroup-specific treatment effect estimation.
Ken’s current research interests are in health care inequities, quality measurement, and algorithmic fairness. During his fellowship, Ken will be working on investigating the statistical reliability of quality measures and decomposing health care disparities to provide practical information for resolving inequities, with applications in mental health care and surgical care. -
Calvin Perumalla
Postdoctoral Scholar, General Surgery
BioDr. Calvin Perumalla joined the Stanford's TECI Center team as a postdoctoral researcher in February 2021. He received his Masters and Doctorate degrees in Electrical Engineering from the University of South Florida. His graduate research work involved building a novel cardiac rhythm monitor with enhanced diagnostic capabilities. He was also involved in building machine learning models to detect cardiac abnormalities. Dr. Perumalla later spent two years working at a late-stage startup where he was involved in building AI models to detect anomalies in computer networks. He is passionate about using AI to improve the quality of human life and his current research interests include Computer Vision, Image Segmentation and Surgical Data Science.
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Yann Sakref
Postdoctoral Scholar, General Surgery
BioYann Sakref is a Postdoctoral Scholar in General Surgery at Stanford University, working within the Knowlton Lab. With a passion for interdisciplinary sciences and advancing medical biotechnology and patient care, Yann is developing clinical and AI solutions as part of an ARPA-H-funded project under Dr. Knowlton's supervision. His work focuses on creating computer vision models for surgical assistance and contributing to the collaborative development of innovative tools by working closely with clinical, engineering, and AI teams. He also works closely with collaborators at the S-SPIRE Center.
