School of Medicine
Showing 8,681-8,700 of 13,039 Results
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Shyon Parsa
Affiliate, Department Funds
BioShyon earned his B.S. in Biomedical Engineering from the Cockrell School of Engineering at the University of Texas - Austin, graduating with Honors. He completed coursework in Thermodynamics and Transport Phenomena in Living Systems at the Department of Applied Mathematics and Theoretical Physics at Cambridge University under Clare Hall fellow Dr. Kenneth Diller. After graduation, Shyon enrolled in medical school at UT Southwestern, and graduated with an M.D with Distinction in Research and as a member of the Alpha Omega Alpha (AOA) honor society.
He started his internal medicine residency at Stanford University Hospital in 2023. In 2024, he was awarded a Stanford Cardiovascular Institute Seed Grant for his project "An Artificial Intelligence Approach Utilizing Radiomic-Derived Calcium Features on Calcium Scoring CT (CAC-CT) in Cardiovascular Risk Stratification" (Co-PI). In 2025, he was selected for a Young Investigator Award from the National Lipid Association and named as an American Heart Association Early Career Investigator Award finalist. His works have been highlighted in the New England Journal of Medicine AI, Journal of the Academic College of Cardiology, and Journal of the American Heart Association.
His interests include the development of AI-enabled ECG models, the implementation and evaluation of AI tools in clinical workflows, and policy surrounding the responsible use of AI in health systems. He is pursuing a career in cardiology with a focus on electrophysiology, medical device development, and policy. -
Susan Parson
Clinical Assistant Professor (Affiliated), Pathology Clinical
Santa Clara County Office Of The Medical Examiner, Pathology Operations supported expensesBioAssistant Medical Examiner (Forensic Pathologist)
Santa Clara County Office of the Medical Examiner
850 Thornton Way
San Jose, CA 95128
(408) 793-1900
https://mec.santaclaracounty.gov/home -
Julie Parsonnet
George DeForest Barnett Professor of Medicine, Emerita
Current Research and Scholarly InterestsI am an infectious diseases epidemiologist who has done large field studies in both the US and developing countries. We research the long-term consequences of chronic interactions between the human host and the microbial world. My lab has done fundamental work establishing the role of H. pylori in causing disease and understanding its epidemiology. Currently, our research dissects how and when children first encounter microbes and the long term effects of these exposures on health.
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Sonia Partap
Clinical Professor, Pediatric Neurology
Clinical Professor (By courtesy), Neurosurgery
Clinical Professor (By courtesy), PediatricsCurrent Research and Scholarly InterestsMy research interests involve the epidemiology, treatment and diagnosis of pediatric and young adult brain tumors. I am also interested in long-term neurologic effects and designing clinical trials to treat brain and spinal cord tumors.
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Gopanandan Parthasarathy
Clinical Assistant Professor, Medicine - Gastroenterology & Hepatology
BioDr Nandan Parthasarathy is a hepatologist and physician-scientist in the Department of Gastroenterology and Hepatology at Stanford University.
After obtaining his medical degree in JIPMER, India, he completed a 2 year clinical research fellowship at Mayo Clinic, following which he completed his residency training at Cleveland Clinic, and GI and transplant hepatology fellowships at Mayo Clinic. During his fellowship, his research work was focused on exploring the immune mechanisms of liver injury in metabolic dysfunction associated steatohepatitis.
Clinically, he is focused on taking care of patients with MASH, cirrhosis and liver cancer.
His career goal is to study the gut-immune system-liver injury axis in order to bring novel therapeutics from the bench to bedside in patients with liver disease. -
Preethy Parthiban
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioMy research centers on how the innate immune system shapes tissue remodeling in health and disease. During my PhD, I uncovered a key role for resident macrophages in driving cardiac fibrosis, identifying a macrophage-derived chemokine that directly activates cardiac fibroblasts. Building on this foundation, my postdoctoral work at Stanford focuses on neutrophil–macrophage crosstalk in disrupted alveolarization in neonatal mice and patients. By integrating cellular, molecular, and translational approaches, I aim to define how innate immune pathways orchestrate extracellular matrix remodeling. Ultimately, my goal is to identify critical therapeutic targets that improve outcomes in ECM-related diseases.
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Josef Parvizi, MD, PhD
Professor of Neurology and Neurological Sciences (Adult Neurology) and, by courtesy, of Neurosurgery
BioDr. Parvizi completed his medical internship at Mayo Clinic, neurology training at Harvard, and subspecialty training in clinical neurophysiology and epilepsy at UCLA before joining the Department of Neurology and Neurological Sciences at Stanford in 2007. Dr. Parvizi directs the Stanford Program for Medication Resistant Epilepsies and specializes in surgical treatments of intractable focal epilepsies. Dr. Parvizi is the principal investigator in the Laboratory of Behavioral and Cognitive Neuroscience, where he leads a team of investigators to study the human brain. http://med.stanford.edu/parvizi-lab.html.
Epilepsy patient story: https://www.youtube.com/watch?v=HXy-gXg0t94&t=3s -
Sergiu P. Pasca
Kenneth T. Norris, Jr. Professor of Psychiatry and Behavioral Sciences and Bonnie Uytengsu and Family Director of the Stanford Brain Organogenesis Program and Senior Fellow, by courtesy, at the Hoover Institution
Current Research and Scholarly InterestsA critical challenge in understanding the intricate programs underlying development, assembly and dysfunction of the human brain is the lack of direct access to intact, functioning human brain tissue for detailed investigation by imaging, recording, and stimulation.
To address this, we are developing bottom-up approaches to generate and assemble, from multi-cellular components, human neural circuits in vitro and in vivo.
We introduced the use of instructive signals for deriving from human pluripotent stem cells self-organizing 3D cellular structures named brain region-specific spheroids/organoids. We demonstrated that these cultures, such as the ones resembling the cerebral cortex, can be reliably derived across many lines and experiments, contain synaptically connected neurons and non-reactive astrocytes, and can be used to gain mechanistic insights into genetic and environmental brain disorders. Moreover, when maintained as long-term cultures, they recapitulate an intrinsic program of maturation that progresses towards postnatal stages.
We also pioneered a modular system to integrate 3D brain region-specific organoids and study human neuronal migration and neural circuit formation in functional preparations that we named assembloids. We have actively applied these models in combination with studies in long-term ex vivo brain preparations to acquire a deeper understanding of human physiology, evolution and disease mechanisms.
We have carved a unique research program that combines rigorous in vivo and in vitro neuroscience, stem cell and molecular biology approaches to construct and deconstruct previously inaccessible stages of human brain development and function in health and disease.
We believe science is a community effort, and accordingly, we have been advancing the field by broadly and openly sharing our technologies with numerous laboratories around the world and organizing the primary research conference and the training courses in the area of cellular models of the human brain. -
Magdalini Paschali
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy research focuses on utilizing machine learning models to enhance the understanding, diagnosis, and treatment of clinical disorders. I am interested in multi-modal learning, combining imaging data like MRI and CT scans with non-imaging data such as electronic health records, creating more holistic and accurate diagnostic models. I am also interested in the robustness of deep neural networks under domain shifts, investigating how models perform when faced with changes in input data distributions.
Finally, I am interested in early biomarker identification using AI model interpretability, to enable the early detection and targeted treatment of chronic disorders.
