School of Medicine
Showing 201-250 of 358 Results
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Xiangping Lin
Postdoctoral Scholar, Genetics
BioXiangping Lin, Ph.D., is a Postdoctoral Scholar at Stanford University. He received his Ph.D. in Chemistry from Sorbonne Paris North University, Paris. Dr. Lin’s research focuses on analytical chemistry, especially mass spectrometry (Orbitrap, Q-TOF, QqQ) and NMR-based omics studies. These include, but are not limited to, metabolomics, exposomics, lipidomics, and the application in biomedical and environmental research, such as metabolism, liver disease, cancer, environmental chemicals exposure biomarkers. In addition, he has extensive experience in multivariate statistics (PCA, PLS-DA, et cetera.), variable selection (logistic regression, LASSO regression, et cetera.), and R programming. In his free time, he enjoys going to the gym, playing badminton (he organizes the Stanford postdoc badminton club), swimming, fitness, cuisine, traveling, and spending time with family and friends.
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Lorraine Ling
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on the cell biology and biochemistry underlying the symbiotic relationship between corals and their partners, microscopic algae of the genus Symbiodinium. The algae live in the coral's gut tissue and provide its host products of photosynthesis while the coral provides inorganic carbon, nitrogen, and a safe habitat. I'm investigating the signaling pathways involved in 1) recognizing the correct algae partner 2) transfer of nutrients between the two.
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Joseph (Joe) Lipsick
Professor of Pathology and of Genetics
On Partial Leave from 10/01/2024 To 12/31/2024Current Research and Scholarly InterestsFunction and evolution of the Myb oncogene family; function and evolution of E2F transcriptional regulators and RB tumor suppressors; epigenetic regulation of chromatin and chromosomes; cancer genetics.
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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
Visiting Postdoctoral Scholar, GeneticsBioSince 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. -
Chris Mathy
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsML for protein / cell engineering; synthetic mitochondrial genomes.
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Emmanuel Mignot, MD, PhD
Craig Reynolds Professor of Sleep Medicine and Professor, by courtesy, of Genetics and of Neurology and Neurological Sciences
Current Research and Scholarly InterestsThe research focus of the laboratory is the study of sleep and sleep disorders such as narcolepsy and Kleine Levin syndrome. We also study the neurobiological and genetic basis of the EEG and develop new tools to study sleep using nocturnal polysomnography. Approaches mostly involve human genetic studies (GWAS, sequencing), EEG signal analysis (deep learning), and immunology (narcolepsy is an autoimmune disease of the brain). We also work on autoimmune encephalitis.
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Pardis Miri
Postdoctoral Scholar, Genetics
BioPardis Miri, PhD, is a postdoctoral fellow at Stanford University where she is focused on building technology to facilitate mental well being. With a PhD in computer science and years of training in area of affective science (under the supervision of Professor James J. Gross), Pardis has assembled a unique team (see http://wehab.stanford.edu) to not only run clinical studies to evaluate their efficacy in changing emotion, mood, and stress but also build product-ready technology.
Pardis is the principal investigator of a large multi-disciplinary project (FAR) to design, build, and evaluate a wearable system tailored to the needs of children with emotion dysregulation, especially children diagnosed with autism spectrum disorder. FAR aims to empower them to manage their problem behaviors in a more adaptive way. The FAR project involves collaborations between the departments of Computer Science, Psychology, Mechanical Engineering, and the School of Medicine at Stanford University.
Pardis is being advised by Professors Micheal Snyder, Professor Keith Marzullo at the University of Maryland iSchool, whose research is on distributed systems, and by Professor James Gross, whose research underlies much of what we now know about emotion regulation. She is also working with Professor Antonio Hardan of the Stanford School of Medicine, whose research is on children with Autism Spectrum Disorder. -
Stephen B. Montgomery
Stanford Medicine Professor of Pathology, Professor of Genetics and of Biomedical Data 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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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
