School of Medicine


Showing 11-20 of 35 Results

  • Dayan Li

    Dayan Li

    Clinical Scholar, Dermatology
    Postdoctoral Scholar, Pediatric Surgery

    Current Research and Scholarly InterestsWound healing, cutaneous fibrosis

  • Yi Liu

    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.

  • Kenneth Nieser

    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.

  • Maia Nofal, MD MPH

    Maia Nofal, MD MPH

    Postdoctoral Scholar, General Surgery

    BioDr. Maia Nofal is a general surgery resident at Boston Medical Center and a post-doctoral NIH-Fogarty Fellow in the Global Health Equity Scholars program at Stanford. Her research interests focus on improving peri-operative surgical care in low-resource settings. She works primarily on adapting implementation and evaluation of the Clean Cut program, a surgical quality improvement program run by Lifebox to reduce surgical site infections through strengthening systems of infection prevention and control. More recently, her work has focused on antibiotic prescribing practices, resistance patterns, and antibiotic stewardship systems at partner hospitals Ethiopia where she is developing quality improvement initiatives to promote evidence-based prescribing practices.

  • Calvin Perumalla

    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.