School of Medicine

Showing 11-20 of 76 Results

  • Carlos Bustamante

    Carlos Bustamante

    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.

  • Michelle Whirl-Carrillo

    Michelle Whirl-Carrillo

    Senior Research Scientist, Biomedical Data Science

    Current Role at Stanford PharmGKB Director

  • Helio Costa

    Helio Costa

    Instructor, Pathology

    Bio Helio Costa, PhD, is a medical geneticist with expertise in oncology, medical genetics and genomics, computational biology, data science, software engineering, and product development. He is passionate about leveraging his interdisciplinary skillset to build and develop commercial-grade healthcare tools that aid in patient care and clinical decision support.

    Dr. Costa's research focuses on developing, clinically validating, and implementing new medical diagnostic genetic tests and software for use at Stanford Health Care. His research group is also developing clinical algorithms using large-scale clinical laboratory datasets and patient electronic medical records to predict patient outcomes and aid in therapeutic clinical decision support.

    He is a co-Investigator on the NIH-funded Clinical Genome Resource (ClinGen) Consortium, and leads the engineering and product management teams developing FDA-recognized medical software applications used by healthcare providers, researchers, and biotechnology companies to define the clinical relevance of genes and mutations identified in patients.

    Dr. Costa 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 Medical Geneticist, and Assistant Lab Director for the Molecular Genetic Pathology Laboratory at Stanford Health Care.

    Dr. Costa received his BS in Genetics from University of California at 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.

  • Roxana Daneshjou

    Roxana Daneshjou

    Clinical Scholar, Dermatology

    Bio I am interested in bridging new technologies such as genomics and machine learning with clinical medicine. I am also interested in the use of Twitter for scientific communication and medical education. I am on Twitter: @RoxanaDaneshjou.

  • Francisco M. De La Vega

    Francisco M. De La Vega

    Adjunct Professor, Biomedical Data Science

    Bio Prof. Francisco De La Vega is a geneticist, computational biologist and experienced technical executive of the life sciences industry, having spent over a decade at Applied Biosystems/Life Technologies developing several successful genetic analysis products, and more recently contributing to technology start-up companies focused on bringing genome sequencing into the clinic. He has participated in several breakthrough international projects such as the 1000 Genomes Project, the Genome-in-a-Bottle Consortium, and the International Cancer Genome Consortium. Francisco has co-authored more than 100 scientific publications, including papers in top journals such as Nature, Nature Genetics, Science, Genome Research and others, which have received over 20,000 citations. Currently he is Chief Scientific Officer and Senior Vice President of Research and Development at Fabric Genomics, an Oakland-based privately held company that develops an Artificial Intelligence-driven software-as- a-service platform for genomic interpretation and clinical reporting from genomes, exomes, and gene panels.

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