Our Team

We have a mixed team of engineers and researchers that work together on the most exciting projects in biomedicine.

Principal Investigators

Russ B. Altman, MD, PhD

Dr. Altman is a 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.

Teri E. Klein, PhD

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.


Tiffany Murray, BA

Tiffany provides administrative support for Russ Altman and Teri Klein and is responsible for PharmGKB communications involving consortia, data licensing, and content use.

Research Team

Steven C. Bagley, MD, MS

Dr. Bagley is a Senior Research Engineer in the Department of Biomedical Data Science, and Executive Director of the graduate program in Biomedical Informatics.

Tianyun Liu, Ph.D.

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.

Jonathan H. Chen, MD, PhD

Jonathan is a physician-scientist in the Department of Medicine interested in data-mining and analytic approaches to inform medical decision making.

Personal Website

Roxana Daneshjou, MD/Ph.D.

Roxana is a physician scientist interested in using genomic sequencing to understand pharmacogenomics in understudied populations.

Emily Mallory

Emily Mallory is a PhD Candidate in the Biomedical Informatics program. She is interested in both the extraction of biomedical information from text and using this text-derived information in machine learning models.

Weizhuang Zhou

Weizhuang is a PhD student in the Bioengineering Department at Stanford. His research involves applying machine learning to transciptomic data in order to provide actionable outcomes in precision medicine. Outside of lab, Weizhuang works as a pro bono food critic, but practices restrain and compassion by not leaving any Yelp reviews...

Emily Flynn

Emily Flynn is a third year Biomedical Informatics PhD student. Emily is interested in using gene expression data to look at drug response.

Wen Torng

Wen is a PhD student in Bioengineering. Her research interests mainly focus on applying deep learning networks, including 3D convolutional networks, sparse-denoised autoencoders, graph convolutions, and recurrent neural networks to protein 3D structural studies and protein-drug interactions predictions.

Lichy Han

Lichy is an MD/PhD student, doing her PhD in Biomedical Informatics. Prior to Stanford, she double majored in biomedical engineering and applied math at Johns Hopkins University. Her research interests revolve around developing methods for elucidating molecular mechanisms of disease and drug response.

Binbin Chen

Binbin is a MD/PhD student of the Stanford Genetics department. His research interest includes machine learning, drug repurposing, and cancer immunology.

Hunter Boyce

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

Adam Lavertu recieved his B.A. in Computational Biology from Colby College and is currently a 2nd year in the Stanford Biomedical Informatics training program. His research interests center around the use of molecular data to predict drug efficacy, in both isolation and combinatorial settings, and using genetic association studies to identify potential pharmacogenomic variants.

Margaret Guo

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.

Angela Zhang

Angela is a MD/PhD student (entering class of 2016). Prior to Stanford, she majored in Biomedical Engineering at Harvard. Her research interests include pharmacogenomics, drug toxicities, and elucidating disease mechanisms.

Yu-Chen (Ben) Lo

Ben is a post-doctoral research fellow at the Altman's lab. His previous research was focusing on chemical and computational approach to dissect the cell cycle and the discovery of antimitotic drugs. His current research interest is in the developing and application of novel computational methods for predicting drug actions, interactions, side-effects and repurposing to engineer effective medicine.

Personal Website

Jennifer Wilson

Jen is a post doc in the Altman lab and a fellow in the CERSI program. Her interests are in drug repurposing and understanding genetic contributions to disease.