School of Medicine
Showing 221-240 of 361 Results
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Lettie McGuire, EdM
Web Developer 1, Genetics
BioHarvard Graduate School of Education
Neuroscience Informed Research Design -
Viktor Stanislavov Minchev
Affiliate, Genetics
BioResearch Software Engineer at StudySync
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Pardis Miri
Basic Life Research Scientist, Genetics
BioPardis Miri, PhD, is a Research Scientist and former Postdoctoral Fellow at Stanford University, where she develops technology aimed at improving mental well-being. She holds a PhD in Computer Science and has extensive training in affective science under Professor James J. Gross. Pardis leads a multidisciplinary team (http://wehab.stanford.edu
) conducting clinical and real-world studies to assess how wearable technologies can reduce stress and enhance glymphatic flow in early-stage Alzheimer’s patients.
During her postdoctoral work, Pardis served as the principal investigator of FAR, a multi-disciplinary project to design, build, and evaluate an end-to-end wearable system for children with emotion dysregulation, including those diagnosed with autism spectrum disorder. FAR aims to support more adaptive emotion-regulation strategies through a combination of systems design and behavioral research.
Pardis is advised by Professors Michael Snyder, Keith Marzullo, and James J. Gross, and collaborates with Professor Antonio Hardan of the Stanford School of Medicine on research involving children with autism spectrum disorder. -
Stephen B. Montgomery
Stanford Medicine Professor of Pathology, Professor of Genetics and of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly InterestsWe focus on understanding the effects of genome variation on cellular phenotypes and cellular modeling of disease through genomic approaches such as next generation RNA sequencing in combination with developing and utilizing state-of-the-art bioinformatics and statistical genetics approaches. See our website at http://montgomerylab.stanford.edu/
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Ronjon Nag, OBE PhD MS BSc FIET
Adjunct Professor, Genetics
BioRonjon Nag is an inventor, teacher and entrepreneur. He is an Adjunct Professor in Genetics at the Stanford School of Medicine, becoming a Stanford Distinguished Careers Institute Fellow in 2016. He teaches AI, Genes, Ethics, Longevity Science and Venture Capital. He is a founder and advisor/board member of multiple start-ups and President of the R42 Group, a venture capital firm which invests in, and creates, AI and Longevity companies. As an AI pioneer of smartphones and app stores, his companies have been sold to Apple, BlackBerry, and Motorola. More recently he has worked on the intersection of AI and Biology. He has been awarded the IET Mountbatten Medal by the Institution of Engineering and Technology, the 2021 IEEE-SCV Outstanding Engineer Award, the $1m Verizon Powerful Answers Award, the 2023 COGX AI Lifetime Achievement Award, the 2023 MIT Great Dome Award, and was the 2024 Inductee in the Silicon Valley Engineering Hall of Fame. Professor Nag has a Ph.D from Cambridge, an M.S from Massachusetts Institute of Technology and a B.Sc. from Birmingham in the UK. He has numerous interests in the intersection of AI and Healthcare including being CEO of Agemica.ai working on creating a vaccine for aging. In 2026 he was awarded Officer of the Order of the British Empire (OBE) in King Charles III Birthday Honors.
He has many firsts including:
Firsts:
• First laptop with speech recognition built-in (with Apricot, 1984)
• First selling cursive handwriting recognition (with Lexicus, 1991)
• First speech recognition phones (with Lexicus/Motorola, 1996)
• First large-vocabulary Chinese speech recognition (with Lexicus/Motorola, 1996)
• First Chinese predictive text system on a phone (Lexicus/Motorola, 1997)
• First predictive text systems in 40 languages on Motorola phones, (Lexicus/Motorola, 1997)
• First touch screen mobile phone with handwriting recognition (Lexicus/Motorola, 1999)
• First combined mobile search engine and directory (with Cellmania, 2000)
• First private label downloadable operator billable apps store (Cellmania, 2000)
• First BlackBerry Operator Billing apps store (Cellmania,2010)
• First Neural Network Artificial Intelligence System in the Cloud (Ersatz Labs, 2014)
• First Throwable 360 Ball Camera (Bounce Imaging, 2015)
• First Android powered smart light switch (Brightswitch 2017)
• First blood pressure watch with temperature and pulse oximetry add-ons for Back to Work Covid Kit (GTCardio 2019)
• First no code AI life sciences app store (Superbio.ai 2022)
• First proposal for an aging vaccine (Agemica 2023) -
Hetanshi Naik
Associate Professor (Teaching) of Genetics
BioHetanshi Naik is an Associate Professor in the Department of Genetics and the Research Director of the MS Program in Human Genetics and Genetic Counseling. She is a board certified genetic counselor and clinical researcher with clinical expertise in the inborn errors of heme biosynthesis, the Porphyrias, lysosomal storage disorders (LSDs), and pharmacogenomics, and research expertise in clinical trials, patient reported outcomes (PROs), qualitative methods, and study design.
Her research interests include developing and evaluating PROs for genetic disorders and genomics, in particular assessing PROs as outcomes for clinical trials, pharmacogenomics implementation, and genetic counseling education and processes, as well as utilizing digital health technologies to improve clinical care, genetic counseling, patient reporting, trial efficacy, and outcomes. -
Ramesh Nair
Director of Bioinformatics, SCGPM, Genetics
Current Role at StanfordDirector, Bioinformatics
Stanford Center for Genomics and Personalized Medicine (SCGPM)
Bioinformatics-as-a-Service (BaaS)
Genetics Bioinformatics Service Center (GBSC)
Diabetes Genomics Analysis Core (DGAC)
Stanford University School of Medicine
