Stanford University
Showing 201-300 of 356 Results
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Xin Liu
Basic Life Science Research Scientist, Genetics
BioXin Liu is a postdoctoral Research Scientist in the Department of Genetics at Stanford University. Xin holds a PhD in Chemistry from the University of Michigan, Ann Arbor. Her basic research interests include RNA and protein biochemistry, enzymology, cancer immunology, and autoimmune disease. She has published papers in several prestigious journals in the field of biochemistry, including Nature Communications, Journal of American Chemical Society, and Nucleic Acids Research. The highlight of her multidisciplinary research includes the development of high-throughput enzymatic methods to discover anti-microbial agents and to reveal mechanisms behind human mitochondrial diseases, as well as innovative applications of genome engineering and machine-learning to decode principles of RNA editing in human cells. Her current research focuses on the mechanistic study of innate immune pathways.
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Romain Lopez
Affiliate, Genetics
BioSince Fall 2021, I am a joint postdoctoral scholar at Stanford University and Genentech Research and Early Development, hosted by Jonathan Pritchard and Aviv Regev. I recently obtained my PhD degree from the department of Electrical Engineering and Computer Sciences at UC Berkeley, advised by Mike Jordan & Nir Yosef. My research interests lie at the intersection of statistics, computation and modeling with a focus on biological applications.
A significant part of my research is driven by building more statistically accurate and faster machine learning software for analyzing single-cell omics data. I developed single-cell Variational Inference (scVI), a flexible model and a scalable inference method for comprehensive analysis of single-cell transcriptomes. I co-developed scvi-tools, an open-source software suite for fully-probabilistic modeling of single-cell multi-omics data. You may learn more about these topics in my guest lecture of the Deep Learning in the Life Sciences class at MIT.
More generally, I am interested in the broader area of ML + Science. Deep generative models provide an appealing and flexible paradigm for learning distributions, but quite some work is needed to fully exploit them as part of a scientific hypothesis testing pipeline (e.g., causality, interpretability, disentanglement, decision-making).
Previously, I worked on counterfactual inference and offline policy learning methods in collaboration with technology companies. In 2018, I visited Le Song at Ant Financial in Hangzhou. In 2019, I visited Inderjit Dhillon at Amazon in Berkeley. Before graduate school, I obtained a MSc in applied mathematics from Ecole polytechnique, Palaiseau in 2016. Additionally, I worked as an intern at the Harvard Medical School with Allon Klein in 2016. I was born and grew up in Bedarieux, France. -
Quan Maq Ma
Postdoctoral Scholar, Genetics
BioQuan (Maq) Ma is a postdoctoral researcher in the Department of Genetics at the Stanford School of Medicine. His research focuses on developing high-throughput sequencing technologies to study RNA modifications and identify substrates of RNA-binding proteins using biochemical and chemical biology approaches. Maq is also interested in the role of RNA editing in inflammatory chronic diseases.
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Chris Mathy
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsML for protein / cell engineering; synthetic mitochondrial genomes.
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Lettie McGuire, EdM
Web Developer 1, Genetics
BioHarvard Graduate School of Education
Neuroscience Informed Research Design -
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 -
Michelle Ozaki
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsResearch interests include tumor microenvironment interactions, stromal and tumor cell interactions, and how stromal cells impact metastasis.
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John R. Pringle
Professor of Genetics, Emeritus
Current Research and Scholarly InterestsMuch of our research exploits the power of yeast as an experimentally tractable model eukaryote to investigate fundamental problems in cell and developmental biology such as the mechanisms of cell polarization and cytokinesis. In another project, we are developing the small sea anemone Aiptasia as a model system for study of the molecular and cellular biology of dinoflagellate-cnidarian symbiosis, which is critical for the survival of most corals but still very poorly understood.
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Jonathan Pritchard
Bing Professor of Population Studies, Professor of Genetics and Biology
Current Research and Scholarly InterestsWe are interested in a broad range of problems at the interface of genomics and evolutionary biology. One current focus of the lab is in understanding how genetic variation impacts gene regulation and complex traits. We also have long-term interests in using genetic data to learn about population structure, history and adaptation, especially in humans.
FOR UP-TO-DATE DETAILS ON MY LAB AND RESEARCH, PLEASE SEE: http://pritchardlab.stanford.edu -
Morteza Roodgar DVM, PhD
Veterinarian Research Scientist, Genetics
BioDr. Morteza Roodgar is a veterinarian scientist with a research focus on Primate induced Pluripotent Stem Cells (iPSCs) and long-read genomics tools.
Dr. Roodgar's research focus is on primate stem cell biology, immunology, and comparative genomics of nonhuman primate models for human diseases. The long-term goal of Dr. Roodgar's research is to Replace, Reduce and Refine (aka 3 R’s) the use of animals in biomedical research leveraging primate induced pluripotent stem cells (iPSCs) and long-read genomic tools to speed up preclinical testing.
Previous research includes immunology and genomic susceptibility to infectious diseases (e.g., tuberculosis, TB) in nonhuman primate models, Preventive Veterinary Medicine and emerging zoonotic diseases (e.g., COVID-19 and Monkeypox). -
Julien Sage
Elaine and John Chambers Professor of Pediatric Cancer and Professor of Genetics
Current Research and Scholarly InterestsWe investigate the mechanisms by which normal cells become tumor cells, and we combine genetics, genomics, and proteomics approaches to investigate the differences between the proliferative response in response to injury and the hyperproliferative phenotype of cancer cells and to identify novel therapeutic targets in cancer cells.
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Serena Sanulli
Assistant Professor of Genetics
Current Research and Scholarly InterestsWe study the organizing principles of the genome and how these principles regulate cell identity and developmental switches. We combine Biochemistry and Biophysical methods such as NMR and Hydrogen-Deuterium Exchange-MS with Cell Biology, and Genetics to explore genome organization across length and time scales and understand how cells leverage the diverse biophysical properties of chromatin to regulate genome function.
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Gavin Sherlock
Professor of Genetics
Current Research and Scholarly InterestsEvolution and the adaptive landscape using yeast as a model; Defining yeast transcriptomes; chromosomal evolution in hybrid yeast species
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Mahasish Shome
Postdoctoral Scholar, Genetics
BioDr. Mahasish Shome is interested in understanding the underlying mechanism of disease progression. He uses various omics profiling to identify biomarkers relevant to the disease. He studies antibodies, cytokines, proteins and microbiome profile to decipher the connection of disease with markers. Connecting various omics provide a holistic overview of the disease profile and can help in early diagnosis, understanding disease state and drug/vaccine effectiveness.
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Arend Sidow
Professor of Pathology and of Genetics
Current Research and Scholarly InterestsWe have a highly collaborative research program in the evolutionary genomics of cancer. We apply well-established principles of phylogenetics to cancer evolution on the basis of whole genome sequencing and functional genomics data of multiple tumor samples from the same patient. Introductions to our work and the concepts we apply are best found in the Newburger et al paper in Genome Research and the Sidow and Spies review in TIGS.
More information can be found here: http://www.sidowlab.org -
Michael Snyder, Ph.D.
Stanford W. Ascherman Professor of Genetics
Current Research and Scholarly InterestsOur laboratory use different omics approaches to study a) regulatory networks, b) intra- and inter-species variation which differs primarily at the level of regulatory information c) human health and disease. For the later we have established integrated Personal Omics Profiling (iPOP), an analysis that combines longitudinal analyses of genomic, transcriptomic, proteomic, metabolomic, DNA methylation, microbiome and autoantibody profiles to monitor healthy and disease states
