School of Medicine


Showing 1-3 of 3 Results

  • Imon Banerjee

    Imon Banerjee

    Basic Life Science Research Scientist, Biomedical Data Science-Administration

    Bio Imon Banerjee is currently working as a Research Scientist at the Biomedical Data Science Dept. Starting from 2016, she was a Post-doctoral scholar in the Laboratory of Quantitative Imaging at Stanford university. She received her Ph.D. from The University of Genova, Italy in 2016. During her Ph.D., she received Marie Curie European fellowship and worked as an early-stage researcher at The Institute for Applied Mathematics and Information Technologies, National Research Council, Italy. During her Ph.D., she developed novel techniques for building patient-specific 3D computational models. She completed her Master thesis in The European Organization for Nuclear Research (CERN), Geneva. Her research is focused on developing unstructured data analysis and big data mining techniques to support clinical diagnosis and treatment.

  • Selen Bozkurt

    Selen Bozkurt

    Postdoctoral Research Fellow, Biomedical Data Sciences

    Bio Selen Bozkurt is a postdoctoral scholar at Stanford University, Biomedical Data Science Department and Center for Biomedical Informatics Research. Her research area and interests have focused on health informatics research using electronic health records, machine learning and natural language processing. She also has work experience as a biostatistician in several projects. She is a member of RSNA Radiology Reporting Committee since 2009. Her PhD dissertation work was entitled "A Real Time Decision Support System for Mammography Interpretations" in which she developed an automated system for deep information extraction from mammography reports and an approach for real-time decision support driven by analysis of dictated radiology reports.

  • Carlos Bustamante

    Carlos Bustamante

    Professor of Biomedical Data Science, of Genetics and, by courtesy, of Biology

    Current Research and Scholarly Interests My research focuses on analyzing genome wide patterns of variation within and between species to address fundamental questions in biology, anthropology, and medicine. My group works on a variety of organisms and model systems ranging from humans and other primates to domesticated plant and animals. Much of our research is at the interface of computational biology, mathematical genetics, and evolutionary genomics.