School of Medicine
Showing 71-80 of 157 Results
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Seth Andrew Sharp
Postdoctoral Scholar, Endocrinology and Metabolism
BioSeth is a Postdoctoral Fellow in the Translational Genomics of Diabetes lab located at Stanford Research Park under the supervision of Professor Anna Gloyn. Seth completed a B.E. in Applied Mathematics before studying a PhD at the University of Exeter with Dr Richard Oram where he researched the use of genetics to predict common autoimmune disorders. Seth studied at the Alan Turing Institute in London where he used machine learning and artificial intelligence methods to predict autoimmunity and has worked collaboratively to improve screening of Type 1 diabetes from birth. Seth's postdoctoral studies focus on using genetic, transcriptomic and epigenetic data to understand the mechanisms by which both Type 1 and Type 2 diabetes occur in the human pancreas. He is also interested in ways to quantify genetic risk such as polygenic risk scores and their application in both research and clinic.
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Sushruta Surappa
Postdoctoral Scholar, Radiology
BioSushruta Surappa is a postdoctoral researcher at the Canary Center for Early Cancer Detection at Stanford University. His current research focuses on developing various MEMS-based tools for the separation and capture of extracellular vesicles for medical diagnostics. Sushruta received his MS (‘15) and PhD (‘21) degrees in Mechanical Engineering from Georgia Institute of Technology, where he developed a new class of nonlinear MEMS transducers with applications in wireless power transfer, sensing and energy harvesting. He is passionate about developing low-cost, miniature technologies for medical diagnostics and is a keen proponent of science communication.
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Xiwei She
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Xiwei She is a postdoctoral scholar in the Department of Neurology. He received his B.S. degree in Computer Science from Shanghai Jiao Tong University in 2013, and his M.S. degree in Biomedical Engineering from Zhejiang University in 2016. Worked as a research assistant at the USC Neural Modeling and Interface Laboratory, he received his Ph.D. degree in Biomedical Engineering from the University of Southern California in 2022. After graduation, he joined Stanford University as a postdoctoral scholar at the Pediatric Neurostimulation Laboratory (Baumer Lab) and Wu Tsai Neuroscience Institute.
His research interests are largely directed toward identifying the causal relationship of neurons/brain regions and understanding how information is encoded in neural signals by employing machine learning models. Specifically, his postdoc research focuses on applying machine learning modeling techniques on EEG and TMS-EEG data to better understand the impact of interictal epileptiform discharges (IEDs) on brain activity in children with childhood epilepsy with centrotemporal spikes (CECTS).