School of Medicine
Showing 1-10 of 29 Results
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Latha Palaniappan, MD, MS
Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Epidemiology and Population Health
On Partial Leave from 01/06/2025 To 03/07/2025Current Research and Scholarly InterestsDr. Palaniappan has published over 200 peer reviewed manuscripts, abstracts, and book chapters over the last 20 years in the areas of chronic disease prevention and treatment in diverse populations. She has expertise in epidemiological research using big data, use of electronic health records for research, and clinical trials.
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Alan C. Pao
Associate Professor of Medicine (Nephrology) and, by courtesy, of Urology
Current Research and Scholarly InterestsWe are broadly interested in how the kidneys control salt, water, and electrolyte homeostasis in the body. Our disease focus is on kidney stone disease. We use cultured kidney cells, transgenic mice, human plasma/urine samples, and electronic health record data to study the pathogenesis of kidney stone disease. Our therapeutic focus is on the development of small molecule compounds that can be used for kidney stone prevention.
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Victoria Parikh
Associate Professor of Medicine (Cardiovascular Medicine)
BioDr. Parikh is a clinician scientist who cares for patients with and studies inherited (genetic) cardiovascular disease. She is the director of the Stanford Center for Inherited Cardiovascular Disease (SCICD) which is one of the largest of its kind in the country. SCICD integrates clinical and basic science with the expert care of patients with genetic cardiovascular conditions (e.g., cardiomyopathies, arrhythmias and vascular diseases). It provides cutting edge care for thousands of patients and families across the lifespan and integrates medical, surgical and genetics care. Our team includes physicians, nurses, advanced practice providers, genetic counselors, exercise physiologists and scientists.
Dr. Parikh's own clinical practice and laboratory are focused on the genetics of cardiomyopathies and their associated arrhythmogenic substrates. She completed clinical cardiology fellowship at Stanford School of Medicine and her medical residency at the University of California, San Francisco. Funded by multiple research grants from the NIH, her lab seeks to identify novel mechanisms and therapeutic technologies for genetic cardiomyopathy as well as better understand the natural histories of patients affected by these diseases. -
Shyon Parsa
Affiliate, Department Funds
Resident in MedicineBioShyon 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. Currently, his interests include the use of AI in opportunistic coronary artery disease assessment, clinical integration of AI-based diagnostic algorithms through clinical trials, and preventive health advocacy through public policy. He plans to pursue a career in cardiology with a focus on advanced computational imaging techniques, medical device development, and advocacy both in his local communities and abroad. -
Chirag Patel, MD, PhD
Member, Cardiovascular Institute
Current Research and Scholarly InterestsNeuro-oncology, Clinical Trials, Tumor Treating Fields (TTFields), Molecular/PET Imaging, Neuroimaging, Immunotherapy, Big Data Analysis
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Meghna D Patel
Clinical Associate Professor, Pediatrics - Cardiology
Current Research and Scholarly InterestsMy current academic focus is in chronic heart failure and ventricular assist device.
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Arogyaswami Paulraj
Professor (Research) of Electrical Engineering, Emeritus
BioProf. Arogyaswami Paulraj is an Emeritus Professor at Stanford University. Paulraj's legacy is deeply intertwined with the evolution of wireless communication. His groundbreaking work on MIMO (multiple input, multiple output) technology laid the foundation for today's ubiquitous 4G/5G networks and high-speed Wi-Fi.
Paulraj's journey began in the Indian Navy, where he served from 1965 to 1991. During this time, he led the development of the APSOH anti-submarine sonar system and established three key R&D labs for the Indian government. His contributions earned him the prestigious Padma Bhushan award, India's third highest civilian honor.
Following his naval career, Paulraj joined Stanford University as a postdoctoral researcher. His research focus shifted to wireless communication, where he made groundbreaking contributions to MIMO technology. MIMO enables data transmission using multiple antennas, significantly increasing network capacity and data rates.
Paulraj's innovation has been recognized with numerous accolades, including the 2024 Royal Acad. Eng. Prince Philip Medal, the 2023 IET Faraday Medal, the 2014 Marconi Prize, and the 2011 IEEE Alexander Graham Bell Medal. He is also a fellow of nine national academies in engineering, sciences, and the arts, and an inductee of the US Patent Office’s National Inventors Hall of Fame.
Currently, Paulraj continues to contribute to technological advancement. He chairs several committees for the Government of India, focusing on the Indian Semiconductor Mission and Core ICT initiatives. His dedication to research and development continues to shape the future of wireless communication. -
John M. Pauly
Reid Weaver Dennis Professor
BioInterests include medical imaging generally, and magnetic resonance imaging (MRI) in particular. Current efforts are focused on medical applications of MRI where real-time interactive imaging is important. Two examples are cardiac imaging, and the interactive guidance of interventional procedures. Specific interests include rapid methods for the excitation and acquisition of the MR signal, and the reconstruction of images from the data acquired using these approaches.
