School of Medicine
Showing 1-10 of 107 Results
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Alexander Kaiser
Postdoctoral Scholar, Cardiology
BioAlexander D. Kaiser is an applied mathematician who researches modeling and simulation of heart mechanics. His doctoral work focused on the mitral valve. He currently works in the Stanford Cardiovascular Biomechanics Computation Laboratory, led by Alison Marsden, on modeling cardiac disease.
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Agnieszka Kalinowski
Postdoctoral Scholar, Psychiatry
BioI am a translational physician-scientist focused on studying the role of the immune system in patients with schizophrenia. My work spans careful clinical characterization of patients to understanding mechanisms in basic science model systems, allowing to provide mechanistic understanding to observations in clinical samples. Currently, I'm focused on deciphering the role of the complement system and how the known genetic risk translates into pathophysiological disease mechanisms. I hope that this work will pave the way to novel treatment strategies.
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Nicholas Antonios Kalogriopoulos
Postdoctoral Scholar, Genetics
BioNick's broad research interests are in developing tools and technologies for research and therapeutic applications. Nick obtained a B.S. in Genetics and Molecular Biology from the University of Wisconsin-Madison. During his undergraduate career, he trained with Dr. Paul Sondel, where he worked on preclinical testing of novel immunotherapeutic agents for the treatment of neuroblastoma. He obtained a Ph.D. in Biomedical Science with Dr. Pradipta Ghosh, elucidating the structural basis of non-canonical G protein activation by a novel protein family of Guanine Nucleotide Exchange Modulators (GEMs). As a Postdoctoral Researcher with Professor Alice Ting at Stanford University, his current research focuses on developing a new system for programmable and user-controlled cellular behaviors for immuno-oncology applications.
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Tahereh Kamali
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Tahereh Kamali joined Stanford University in September 2019. Her research interests primarily lie in the design of new machine learning techniques for healthcare and developing clinical decision support systems to achieve accurate as well as robust prediction particularly in case of having partially-labeled training data. Her research interests also span the areas of the biomedical signal/image processing, computer vision, intelligent assistive technologies, and affective computing.
