School of Medicine
Showing 151-200 of 389 Results
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Felix Horns
Assistant Professor of Genetics
BioFelix Horns is an Assistant Professor of Genetics at Stanford University and a Core Investigator at Arc Institute. The Horns group works at the interface of synthetic biology and genomics to develop and apply technologies for monitoring and manipulating cells, with particular focus on the immune system and the brain.
Felix earned his B.A. in Biology from Amherst College and his Ph.D. in Biophysics working with Dr. Stephen Quake at Stanford, where he developed and used single-cell genomics, high-throughput sequencing, and computational analysis approaches to understand the origins of human antibody diversity and to discover principles of how brain circuits assemble during development. He then joined Dr. Michael Elowitz's lab at the California Institute of Technology where he combined synthetic biology and genomics approaches to develop RNA packaging, secretion, and delivery systems, which open new avenues for understanding and controlling cellular behaviors. -
Tridu Huynh
Clinical Assistant Professor, Medicine
Affiliate, GeneticsCurrent Research and Scholarly InterestsMulti-Omics in Clonal Hematopoiesis of Indeterminate Potential
Undiagnosed Disease Network -
Alexander Ioannidis
Assistant Professor (Research) of Genetics and of Biomedical Data Science
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)BioDr. Ioannidis earned his Ph.D. from Stanford University in Computational and Mathematical Engineering together with an M.S. in Management Science and Engineering (Optimization). He graduated summa cum laude from Harvard University in Chemistry and Physics and earned an M.Phil at the University of Cambridge from the Department of Applied Math and Theoretical Physics in Computational Biology. His research focuses on the design of algorithms and application of computational methods for problems in precision health, genomics, clinical data science, and AI in healthcare.
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Livnat Jerby
Assistant Professor of Genetics
Current Research and Scholarly InterestsCombining and advancing functional genomics, cell engineering, synthetic biology, AI, and basic immunology to uncover, decode, rewire, and develop mechanisms to selectively eliminate and reprogram disease-driving cells as a foundation for disease treatment and prevention.
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Feng Jiang
Postdoctoral Scholar, Genetics
BioI am a postdoctoral researcher working on RNA editing.
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Peter William Earl Kane
Affiliate, Genetics
BioHelping oncology and rare disease patients.
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Amarnath K R
Affiliate, Genetics
BioAmarnath K R is a computational scientist and deep learning engineer driving breakthroughs in biomedical AI specializing in the fusion of multi-omics data, deep learning, and clinical statistics to tackle some of medicine’s most complex challenges. His current work at Stanford University's Department of Genetics focuses on developing a deep learning framework for cross-modal cell type label transfer by aligning single-cell RNA-seq and proteomics data in a shared latent space. Using autoencoders and a joint contrasitive-based training, he achieves highly reliable annotation of unlabeled proteomics cells with RNA-derived ground truth. This work enables accurate integration of transcriptomic and proteomic modalities for downstream biological discovery and holds promise for expanding cell atlases.
What sets Amarnath apart is his commitment to both technical excellence and translational impact. From designing novel transformer architectures for histopathology and image inpainting, to developing AI-powered tools for emergency departments in India, his work is grounded in real-world deployment and global health relevance. His projects span continents and disciplines like, from integrating multi-omics datasets to uncover disease mechanisms and predict therapeutic response, to an acoustic classifier for biodiversity, to decoding brain function through neuroinformatics.
With multiple publications, international collaborations, and an unwavering drive to innovate, he represents a new generation of computational scientists shaping the future of personalized, data-driven medicine. -
Maya M. Kasowski
Assistant Professor of Pathology, of Medicine (Pulmonary, Allergy and Critical Care Medicine) and, by courtesy, of Genetics
BioI am a clinical pathologist and assistant professor in the Departments of Medicine, Pathology, and Genetics (by courtesy) at Stanford. I completed my MD-PhD training at Yale University and my residency training and a post-doctoral fellowship in the Department of Genetics at Stanford University. My experiences as a clinical pathologist and genome scientist have made me passionate about applying cutting-edge technologies to primary patient specimens in order to characterize disease pathologies at the molecular level. The core focus of my lab is to study the mechanisms by which genetic variants influence the risk of disease through effects on intermediate molecular phenotypes.
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Mark A. Kay, M.D., Ph.D.
Dennis Farrey Family Professor of Pediatrics, and Professor of Genetics
Current Research and Scholarly InterestsMark A. Kay, M.D., Ph.D. Director of the Program in Human Gene Therapy and Professor in the Departments of Pediatrics and Genetics. Respected worldwide for his work in gene therapy for hemophilia, Dr. Kay and his laboratory focus on establishing the scientific principles and developing the technologies needed for achieving persistent and therapeutic levels of gene expression in vivo. The major disease models are hemophilia, hepatitis C, and hepatitis B viral infections.
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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.
