School of Medicine
Showing 1-10 of 30 Results
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Mohan Babu Budikote Venkatappa
Basic Life Research Scientist, Genetics
Current Research and Scholarly InterestsLongitudinal deep omics profiling to understand health and disease trajectories
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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. -
Julie Baker
Professor of Genetics
Current Research and Scholarly InterestsWe examine how cells communicate and function during fetal development. The work in my laboratory focuses on the establishment of specific cell fates using genomics to decipher interactions between chromatin and developmental signaling cascades, between genomes and rapidly evolving cell types, and between genomic copy number variation and gene expression. In recent years we have focused on the vastly understudied biology of the trophoblast lineage, particularly how this lineage evolved.
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Nasim Bararpour
Basic Life Research Scientist, Genetics
BioNasim Bararpour is a postdoctoral fellow in the Department of Genetics and Personalized Medicine at Stanford School of Medicine, where she works at the intersection of data science, and multi-omics integration. She completed her Ph.D. in Life Science from the University of Lausanne, developing deep expertise in mass spectrometry-based metabolomics and lipidomics as well as integrative omics. She joined Stanford in 2020.
At Stanford, Dr. Bararpour has led and contributed to some of the most comprehensive multi-omics studies to date, including the human Personalized Omics Profiling (hPOP) project, the integrative Personal Omics Profiling (iPOP) study, and the Human Tumor Atlas Network (HTAN). Her first-authored paper in Cell (2026), which integrated thirteen molecular layers across individuals of diverse ancestries, identified ethnicity-specific drug target patterns and molecular pathways with direct implications for cardiometabolic disease, making a scientific case for population-aware precision medicine. She is the author of over 20 peer-reviewed publications, including papers in Nature Metabolism, and Nature Biomedical Engineering.
