School of Medicine
Showing 121-140 of 149 Results
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Kevin Thomas
MD Student, expected graduation Spring 2024
Ph.D. Student in Biomedical Informatics, admitted Autumn 2017
MSTP StudentBioKevin Thomas is an MD/PhD dual degree candidate in the NIH-sponsored Medical Scientist Training Program (MSTP). He has a PhD in Biomedical Informatics. His research focuses on the development and application of machine learning methods for human mobility data including medical imaging, wearable sensor measurements, video, and kinematics collected from lab-based motion capture systems. He has developed open-source software and web applications used by researchers across the country to accelerate their study of mobility-related diseases.
Before attending Stanford School of Medicine, he was a Fulbright Scholar in Canada where he conducted research on the use of wearable sensors and machine learning for the assessment of sports performance in elite sprinters and basketball players in collaboration with Adidas. He has also worked with the Philadelphia Phillies Major League Baseball team, conducting player analyses and statistical modeling to support front-office decision making. -
Thodsawit Tiyarattanachai
Masters Student in Biomedical Informatics, admitted Autumn 2023
Current Research and Scholarly Interestsartificial intelligence
medical imaging
ultrasound
screening and surveillance of liver cancer
cancer prediction models
cancer biomarkers -
Shai Waldrip
Postdoctoral Scholar, Biomedical Informatics
BioDr. Waldrip is a Propel Postdoctoral Scholar in the Boussard lab. Her research aims to develop a digital twin for breast cancer patients that will ultimately support the advancement of precision medicine and improve clinical decision-making and patient-centered care. Specifically, she will use machine learning, deep learning, and mechanistic modeling using multimodal and multiscale data to fulfill her goal. She will also create a framework to evaluate bias and fairness of the algorithms as well as their clinical feasibility and utility. Her research interests include clinical AI, precision oncology, health equity, and bias mitigation.
