School of Medicine
Showing 151-160 of 336 Results
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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. -
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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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 a strong background 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.
