School of Medicine
Showing 1-20 of 87 Results
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Jordi Abante Llenas
Postdoctoral Scholar, Biomedical Data Sciences
BioIn 2014 I received my BS in Industrial Engineering from the Universitat Politècnica de Catalunya in Barcelona, where I majored in power electronics and signals. During my undergraduate, I served as the Team Captain of the ETSEIB Formula Student team, where I helped develop the first electric vehicle for the school. After graduating, I went on to obtain an MS from the Electrical & Computer Engineering department at Texas A&M University in College Station, Texas. There, I joined the Center for Bioinformatics and Genomic Systems Engineering, where I was involved in several computational genomics research projects under Dr. Aniruddha Datta. In 2015, I was awarded the “la Caixa” fellowship to pursue research in computational biology during my Ph.D. as a member of the Goutsias lab, developing computational methods to study epigenetic signatures in close collaboration with the Feinberg lab of the Johns Hopkins University School of Medicine. In addition to my research and Ph.D. coursework, I earned an MS focused on statistical learning from the Applied Mathematics & Statistics department at Johns Hopkins University in 2018. After successfully defending my dissertation entitled “Statistical Signal Processing Methods for Epigenetic Landscape Analysis” on May 10 of 2021, I joined Salzman’s lab at Stanford University as a Postdoctoral Research Fellow being awarded the postdoctoral fellowship from the Center for Computational, Evolutionary and Human Genomics.
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Nima Aghaeepour
Associate Professor (Research) of Anesthesiology, Perioperative and Pain Medicine (Adult MSD), of Pediatrics (Neonatology) and, by courtesy, of Biomedical Data Science
BioThank you for your interest. Please use the links on the bottom right side of this page to learn more about our laboratory's work.
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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 InterestsI 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/
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Euan A. Ashley
Associate Dean, School of Medicine, Roger and Joelle Burnell Professor of Genomics and Precision Health, Professor of Medicine (Cardiovascular Medicine), of Genetics, of Biomedical Data Science and, by courtesy, of Pathology
Current Research and Scholarly InterestsThe Ashley lab is focused on precision medicine. We develop methods for the interpretation of whole genome sequencing data to improve the diagnosis of genetic disease and to personalize the practice of medicine. At the wet bench, we take advantage of cell systems, transgenic models and microsurgical models of disease to prove causality in biological pathways and find targets for therapeutic development.
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Daniel Bloch
Professor (Research) of Biomedical Data Science (BDS), Emeritus
BioI received my PhD. in Mathematical Statistics in 1967. I joined the research community at the Stanford University School of Medicine, Division of Immunology & Rheumatology, in 1984 as head statistician directing the biostatistics consulting and analytic support of the Arthritis Rheumatism Aging Medical Information System (ARAMIS) and Multipurpose Arthritis Center (MAC) grant-related research programs. In 1993 I was appointed Associate Professor with a joint appointment in the Departments of Medicine and of Health Research & Policy, and am currently Professor of Biostatistics at Stanford University, emeritus since 2007. My contributions to the statistics literature span numerous fields, including methods of sample size estimation, efficiency and bias of estimators, research methods for kappa statistics, non-parametric classification methods and methods of assessing multi-parameter endpoints. I have over 200 peer-reviewed publications. I have been directly involved with the development of numerous criteria rules for classification of diseases and with establishing guidelines for clinical trial research and in proposing responder criteria for osteoarthritis drugs. Since 1987, I have been a consultant on an ad hoc basis to pharmaceutical and biotechnical firms, including both start-up and established companies. I have extensive experience with devices, drugs and biologics and have participated in all aspects of applying statistics to implement investigational plans; e.g.: for protocol development, design of trials, database design. I’ve been a member of the FDA Statistical Advisors Panel, the statistical member on numerous data safety monitoring boards, and frequently represent companies at meetings with the FDA
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Carlos Bustamante
Professor of Biomedical Data Science, of Genetics and, by courtesy, of Biology
On Leave from 10/01/2021 To 08/30/2022Current Research and Scholarly InterestsMy 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.
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Michelle Whirl-Carrillo
Senior Research Scientist, Biomedical Data Science
Current Role at StanfordPharmGKB Co-PI and Director
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Roxana Daneshjou
Clinical Scholar, Dermatology
Postdoctoral Scholar, Biomedical Data SciencesBioI 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.
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Francisco M. De La Vega
Adjunct Professor, Biomedical Data Science
BioProf. 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.
