School of Medicine
Showing 181-200 of 389 Results
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Karla Kirkegaard
Violetta L. Horton Professor and Professor of Microbiology and Immunology
Current Research and Scholarly InterestsThe biochemistry of RNA-dependent RNA polymerase function, the cell biology of the membrane rearrangements induced by positive-strand RNA virus infection of human cells, and the genetics of RNA viruses, which, with their high error rates, live at the brink of error catastrophe, are investigated in the Kirkegaard laboratory.
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Teri Klein
Professor (Research) of Biomedical Data Science, of Medicine (Computational Medicine) and, by courtesy, of Genetics
Current Research and Scholarly InterestsCo-founder, Pacific Symposium on Biocomputing
NIEHS, Site Visit Reviewer
NIH, Study Section Reviewer -
Gabriele Kockelkoren
Postdoctoral Scholar, Genetics
BioGabriele has a strong background in both physics and molecular biology and, accordingly, he strives in interdisciplinary environments. After completing a cum laude BSc. and MSc. in Nanobiology at the Technical University of Delft in The Netherlands, Gabriele pursued a PhD at the University of Copenhagen under the supervision of Prof. Dimitrios Stamou. In his PhD, Gabriele studied the nanoscale spatial organization of G protein-coupled receptors (GPCRs) at the plasma membrane of living cells. Importantly, his work reveals heterogeneous spatial patterns of receptor density and activation, that are modulated in a drug-dependent manner. These findings identify GPCR spatial organization as an integral element of their activity and signaling. Currently, Gabriele is a Postdoctoral Fellow in the lab of Prof. Alice Ting developing programmable receptors for molecular sensing and controlling cellular behaviour.
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Naoki Konno
Postdoctoral Scholar, Genetics
BioNaoki has extensive training in evolutionary biology and bioinformatics, and he thrives in interdisciplinary environments bridging computation and developmental biology. After earning his BSc. and MSc. in Systems Biology and Bioinformatics at the University of Tokyo, Naoki pursued a PhD in Evolutionary Biology under the supervision by Prof. Chikara Furusawa. He has developed computational frameworks to reconstruct and predict evolutionary processes, including large-scale phylogenetic inference for both evolution and cell lineage tracing (FRACTAL) and predictive models of microbial genome evolution (Evodictor). His work revealed generalizable rules of genome evolution and was recognized with multiple awards, including the JSPS Ikushi Prize.
Currently, Naoki is a Postdoctoral Scholar in the lab of Prof. Xiaojie Qiu at Stanford University School of Medicine. In his postdoctoral research, he investigates the evolutionary constraints of vertebrate development with a focus on the heart as a model system. By integrating single-cell and spatial transcriptomics with predictive modeling and CRISPR-based perturbations, he seeks to uncover how evolutionary principles shape developmental trajectories and contribute to congenital heart defects. Ultimately, Naoki aims to establish a broad research program in evolution-aware medicine, connecting evolutionary theory with biomedical challenges. -
Anshul Kundaje
Associate Professor of Genetics and of Computer Science
Current Research and Scholarly InterestsWe develop statistical and machine learning frameworks to model gene regulation and decipher the genetic and molecular basis of disease
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Shin-Huei Kuo, M.D., M.S.
Affiliate, Genetics
Visiting Scholar, GeneticsBioDr. Kuo is a Visiting Scholar in the Department of Genetics at Stanford University School of Medicine and an attending physician in the Division of Infectious Diseases at Kaohsiung Medical University Chung-Ho Memorial Hospital in Taiwan. Her clinical and research interests include HIV care, comorbidities, and prognosis modeling. At Stanford, she collaborates with faculty in the Snyder Lab to explore precision medicine approaches to infectious diseases and inflammaging.
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Linda (Yu-Ling) Lan
Basic Life Res Scientist, Genetics
BioLinda Lan, DVM, PhD is a postdoctoral fellow in the Snyder Lab. Her research focuses on understanding long-term illness post-acute infections by using a combination of different types of data (multi-omics) and wearable technologies. Currently, Linda is working on three projects.
The first project involves studying the shared mechanisms of long COVID, ME/CFS, and PTLDS using smartwatches and micro-sampling. The second project involves examining the role of autoantibodies in long COVID patients and COVID vaccine side effects. The third project involves exploring the changes in the molecular and physiological responses of astronauts during short space flights using multi-omics and wearable devices.
Linda previously conducted her PhD research at the University of Chicago, where she studied memory B cell responses to a chimeric-based universal influenza virus vaccine candidate. In her leisure time, she enjoys running, hiking, and listening to audiobooks.
