School of Medicine
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Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly Interests I refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
Euan A. Ashley
Professor of Medicine (Cardiovascular), of Genetics, of Biomedical Data Science and, by courtesy, of Pathology at the Stanford University Medical Center
Current Research and Scholarly Interests The Ashley lab is focused on precision medicine. We develop methods for the interpretation of whole genome sequencing data to improve diagnosis of genetic disease and to personalize the practice of medicine. We also use network approaches to characterize biology. The wet bench is where we take advantage of cell systems, transgenic models and microsurgical models of disease to prove causality of our favorite targets.
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.
Professor of Biomedical Data Science, of Genetics and, by courtesy, of Biology
Current Research and Scholarly Interests My genetics research focuses on analyzing genome wide patterns of variation within and between species to address fundamental questions in biology, anthropology, and medicine. We focus on novel methods development for complex disease genetics and risk prediction in multi-ethnic settings. I am also interested in clinical data science and development of new diagnostics.I am also interested in disruptive innovation for healthcare including modeling long-term risk shifts and novel payment models.
Senior Research Scientist, Biomedical Data Science
Current Role at Stanford Associate Director, PharmGKB
Bio Helio Costa, PhD, is a geneticist with expertise in genomics, molecular biology, molecular oncology, and bioinformatics. He is currently an Instructor within the Departments of Pathology and Biomedical Data Science at Stanford Medical School. Dr. Costa's research utilizes next-generation sequencing to develop new clinical genome and transcriptome profiling methods with the end goal of translating these tools to clinical diagnostic tests for implementation at Stanford Health Care. His research group is also interested in developing data science and machine learning methods to model and predict clinical outcomes and aid in clinical decision support. He is the founding director of the Stanford Clinical Data Science Fellowship where post-doctoral fellows engage in interdisciplinary clinical research and embed in health care workflows learning, building and deploying real-world health data solutions in the Stanford Health Care system. Additionally, he is an Attending Geneticist, and Assistant Lab Director of the Molecular Genetic Pathology Laboratory for Stanford Health Care. Dr. Costa received his BS in Genetics from University of California, Davis, his PhD in Genetics from Stanford University School of Medicine, and his ABMGG Clinical Molecular Genetics and Genomics fellowship training from Stanford University School of Medicine.