School of Medicine
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Jean Coquet
Postdoctoral Research Fellow, Biomedical Informatics
Bio I received my PhD from University of Rennes 1, where I was working in the Dyliss team (DYnamics, Logics and Inference for biological Systems and Sequences), at the INRIA institute (Rennes, France). My research area have focused on making sense of unconventional and complex wide data biological sets, such as signaling pathways, gene interactions, or more recently, Electronical Health Records (EHRs). In Boussard Lab, my research is to establish different novel strategies for the evaluation the quality healthcare delivery, involving machine learning and Natural Language Processing (NLP) methods.
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Jennifer Joseph
Postdoctoral Research Fellow, Biomedical Informatics
Bio Dr. Joseph designs and conducts quantitative research studies on population health and quality of care using large-scale healthcare data sources, including electronic health records, national cancer registry, and Medicare claims data. Her research includes studying the impact of clinical guidelines on quality of care, and racial/ethnic disparities in healthcare utilization, disease management, and clinical outcomes for cancer and diabetes patient populations. Her current research in Dr. Hernandez-Boussard's lab focuses on post-operative pain care and studying predictors of opioid abuse in different patient populations.
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Pritam Mukherjee
Postdoctoral Research Fellow, Biomedical Informatics
Bio I received my B. Tech(Hons) with a major in Electronics and Electrical Communication Engineering and a minor in Computer Science and Engineering from Indian Institute of Technology (IIT), Kharagpur in 2010. In 2016, I obtained a Ph.D in Electrical and Computer Engineering at the University of Maryland, College Park under the guidance of Prof. Sennur Ulukus. From January to December 2017, I was a postdoctoral researcher in the Electrical Engineering department at Stanford University with Prof. Tsachy Weissman and Prof. Ayfer Ozgur. From January 2018, I joined the Gevaertlab at BMIR in the Stanford School of Medicine where I am currently pursuing research into the application of machine learning and deep learning to uncover the interplay between biomedical imaging and genomics, as they relate to cancer research.
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