Dr. Altman is the Kenneth Fong Professor of Bioengineering, Genetics, & Medicine (and of Computer Science, by courtesy) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels. The lab studies how human genetic variation impacts drug response (PharmGKB). Other work focuses on the analysis of biological molecules to understand the action, interaction and adverse events of drugs. He currently hosts "Future of Everything" on SiriusXM 121 and has a a blog entitled Building Confidence. Dr. Altman holds an A.B. from Harvard College, and M.D. from Stanford Medical School, and a Ph.D. in Medical Information Sciences from Stanford. He received the U.S. Presidential Early Career Award for Scientists and Engineers and a National Science Foundation CAREER Award. He is a fellow of the American College of Physicians (ACP), the American College of Medical Informatics (ACMI), the American Institute of Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS). He is a member of the Institute of Medicine of the National Academies. He is a past-President, founding board member, and a Fellow of the International Society for Computational Biology (ISCB), and a past-President of the American Society for Clinical Pharmacology & Therapeutics (ASCPT). He has chaired the Science Board advising the FDA Commissioner, and currently serves on the NIH Director’s Advisory Committee. He is an organizer of the annual Pacific Symposium on Biocomputing (http://psb.stanford.edu/), and a founder of Personalis, Inc. Dr. Altman is board certified in Internal Medicine and in Clinical Informatics. He received the Stanford Medical School graduate teaching award in 2000, and mentorship award in 2014.
Dr. Klein is a Professor in the Department of Biomedical Data Science and Medicine (BMIR). She is the Director/Co-Principal Investigator for the PharmGKB and Co-Prinicial Investigator for CPIC (Clinical Pharmacogenetics Implementation Consortium). Teri received her PhD in Medical Information Sciences from the University of California, San Francisco and a BA in biology/chemistry from the University of California, Santa Cruz. Prior to coming to Stanford in 2000, Dr. Klein was an Associate Adjunct Professor at UCSF.
Teri’s research interests extend over the broad spectrum of pharmacogenomics, personalized medicine, computational biology and bioinformatics. Applications include the development of a pharmcogenomics knowledge base, clinical dosing guidelines for pharmacogenomics, annotation of human genome, de novo modeling and the structural basis of disease.
Tianyun's research interests lie in drug repurposing and personalization through structural biology and systems biology approaches. In particular, her focus is on relating the genetic features of patients to acquired genes and pathway dependencies and identifying small-molecule drugs that target them.
Hunter Boyce received his B.S. in Bioinformatics from UC San Diego and is currently a 3rd year PhD student in the Stanford Biomedical Informatics training program. He is working with Dr. Parag Mallick and Dr. Russ Altman on using integrative, multi-omic approaches to model the processes that govern proteome dynamics and to use those models to discover cancer biomarkers and mechanisms.
Adam Lavertu received his B.A. in Computational Biology from Colby College and is currently a PhD candidate in the Stanford Biomedical Informatics training program. His work focuses on developing methods for natural language processing of real-world text to aid in pharmacological discovery and pharmacovigilance.
Margaret is a second-year MD/PhD student. Prior to Stanford, she double majored in electrical engineering and computer science and bioengineering at MIT. Her research interests involve using gene expression data and protein-protein interaction networks to create machine learning based models for understanding complex cellular mechanisms.
Sheng is a post-doctoral research fellow at the Altman's lab. He is interested in computational biology, machine learning, and natural language processing. He is currently working on accelerating biological discovery through efficiently mining large-scale biological datasets, automatically finding literature evidence, and developing user-friendly analysis tools.
Dan completed his Bachelor’s and M.Eng. at MIT studying Computer Science/Molecular Biology and Management. Currently he is a second-year PhD student in the Biomedical Informatics (BMI) training program. His research interests include generating principled hypotheses about drug repurposing with network-based methods and using chemoinformatics to understand known drug binding interactions and to aid in drug discovery.
Jake is a postdoctoral fellow in the group. His research focus is biomedical text mining to extract and infer biological knowledge from the vast published literature. He received his PhD from the University of British Columbia and his undergraduate from the University of Edinburgh.
Lu received her B.S. in Bioengineering at UCSD and is currently a PhD student in Bioengineering department. Her research interests include the development of machine learning methods for patient phenotyping in UK Biobank.
Alex received his B.S. in Materials Science and Engineering at MIT and is currently a PhD student in the Biomedical Informatics training program. His research interests include the development of machine learning methods for modeling protein structure in order to improve drug discovery.