School of Medicine
Showing 11-20 of 368 Results
-
Euan A. Ashley
Roger and Joelle Burnell Professor of Genomics and Precision Health, Arthur L. Bloomfield Professor of Medicine and Professor 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.
-
Laura Attardi
Catharine and Howard Avery Professor of the School of Medicine and Professor of Genetics
Current Research and Scholarly InterestsOur research is aimed at defining the pathways of p53-mediated apoptosis and tumor suppression, using a combination of biochemical, cell biological, and mouse genetic approaches. Our strategy is to start by generating hypotheses about p53 mechanisms of action using primary mouse embryo fibroblasts (MEFs), and then to test them using gene targeting technology in the mouse.
-
Mohan Babu Budikote Venkatappa
Basic Life Research Scientist, Genetics
Current Research and Scholarly InterestsLongitudinal host-microbial omics profiling and wearables-based monitoring to understand Autism Spectrum Disorder (ASD), its heterogeneity, and predictors of the diverse symptoms that ASD individuals experience.
-
Amir Bahmani
Instructor, Genetics
BioAmir Bahmani is a Genetics Instructor and Director of Stanford's Deep Data Research Center (https://deepdata.stanford.edu ) at the Stanford School of Medicine. He has worked on distributed and parallel computing applications since 2008. Amir is currently an active researcher in the VA Million Veteran Program (MVP), Human Tumor Atlas Network (HTAN), Human BioMolecular Atlas Program (HuBMAP), Stanford Metabolic Health Center (MHC), Integrated Personal Omics Profiling (iPOP), and Bridge to Artificial Intelligence (Bridge2AI).
His team has designed and developed several notable cloud-scale frameworks, including the Personal Health Dashboard (PHD), cloud-based cost-saving platforms such as Hummingbird and Swarm, and the MyPHD platform, which now has over 12,000 participants and hosts more than 37 studies. His team also created Stanford Data Ocean (SDO), an innovative platform for educating engineers and biologists. SDO is the first serverless multi-omics and wearables data platform used for education and training.
Since 2017, he has trained more than 30 graduate interns (engineers and designers) from outside the School of Medicine, engaging them in the field of medicine. His course has been offered to physicians, biologists, engineers, and designers, earning him recognition as the recipient of Stanford’s 2024 Walter J. Gores Award for Excellence in Teaching. In 2023, he received the Terman Mentorship Award for mentoring Terman Fellow Ryan Park (top 1%), who transitioned to a Genetics PhD program inspired by Amir’s course. Committed to accessibility in education, Amir created a first-of-its-kind scholarship for under-resourced communities at Stanford, providing his course free of charge—along with Genetics certificates—to over 4,500 students from under-resourced backgrounds across 104 countries and all 50 U.S. states.
