School of Medicine
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Suzann Pershing, MD
Professor of Ophthalmology
BioDr. Pershing is on the ophthalmology faculty at Stanford University School of Medicine, with an academic career blending clinical practice, teaching, research, and administration. She serves as Chief of Ophthalmology and Eye Care Services for the VA Palo Alto Health Care System and as Vice Chair for Education in the Stanford Department of Ophthalmology, after five years as Program Director for the ophthalmology residency.
As an educator she seeks to bring a "precision" approach to graduate medical education, incorporating innovation and research rigor. She is committed to program development and excited to innovate and implement novel approaches to ophthalmology education. Specific areas of interest include competency-based education, career pathways and career development, and leadership development, with programmatic initiatives such as Stanford Ophthalmology's 4-year research track residency program (SOAR), opportunities for resident elective scholarly activity, and efforts to develop a valuable internship program for incoming ophthalmology residents at Stanford. Dr. Pershing's active research includes efforts to enhance fair and holistic residency selection, using AI semi-supervised models to augment the application review process, and predictive modeling to optimize cataract surgery case selection and scheduling.
Her broader research interests focus on utilization of big data, AI and biomedical informatics techniques, predictive modeling, and evidence-based medicine to study clinical associations and outcomes, health care utilization, disease progression, and cost-effectiveness of ophthalmic treatment, as well as a special interest in the relationship between visual impairment and cognitive impairment. Dr. Pershing is active in big data initiatives and analysis, including collaborative projects at Stanford and serving as site PI for the American Academy of Ophthalmology (AAO) IRIS Registry analytic group at Stanford, as well as helping to lead efforts for Stanford to submit data and participate in the Sight Outcomes Research Collaborative (SOURCE) data repository. She also serves on the American Board of Medical Specialties Database and Information Technology Advisory Committee (DITAC), and previously on the AAO Medical Information Technology Committee and AAO Committee on Aging. Through this and her other work, she is engaged in efforts to use diverse data sources to facilitate improved quality of care, continuing certification, and practice and outcomes assessments. Dr. Pershing is also involved in health policy, including helping to develop CMS episode-based cost measures for MIPS, and she is interested in health care innovation—technology, quality, and delivery systems.
Dr. Pershing also serves as faculty advisor for the Alpha Omega Alpha medical honor society Stanford association, with focus on resident initiatives, and mentors both medical students and undergraduate students. -
Petra Persson
Associate Professor of Economics, Senior Fellow at the Stanford Institute for Economic Policy Research and Associate Professor, by courtesy, of Health Policy
BioPetra Persson is Associate Professor of Economics at Stanford University, where she also serves as the Nina C. Crocker Faculty Scholar in the School of Humanities and Sciences and holds a courtesy appointment as Associate Professor of Health Policy. She is a Faculty Research Associate at the National Bureau of Economic Research, a Senior Fellow at the Stanford Institute for Economic Policy Research, and a Research Affiliate at the Centre for Economic Policy Research.
Professor Persson earned her PhD in Economics from Columbia University in 2013, her MSc in Economics from Stockholm School of Economics in 2006, and her BA in Political Science and Mathematics from Stockholm University in 2005. Prior to joining the Stanford faculty, she was a Postdoctoral Fellow at the Stanford Institute for Economic Policy Research (2013-2014) and a Dissertation Fellow at the Harvard Kennedy School Women and Public Policy Program (2012-2013).
Persson's research lies at the intersection of family economics, health economics, and public finance, spanning topics including health disparities, maternal and child well-being, family structure and behavior, fertility policy, and social insurance design. She is the recipient of the National Science Foundation CAREER Award and has published articles in leading peer-reviewed journals, including the American Economic Review, Journal of Political Economy, American Economic Review: Insights, American Economic Journal: Applied Economics, American Economic Journal: Economic Policy, and British Medical Journal. -
Jeffrey Petersen
Professor of Medicine (Nephrology) at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsHigh flux dialysis in in-vivo and in-vitro clearances, of small and middle molecular weight solutes; computerized capture, of interdialysis hemodynamics; biocompatibility of biomembranes;, dialysis-related amyloidosis
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Eric Peterson
Casual - Non-Exempt, Neurology Research
BioI am a researcher with 10 years of experience in magnetic resonance imaging, which includes project management, data analysis, digital signal and image processing, image reconstruction, and pulse sequence design. I currently manage the day-to-day operations of a small animal MRI facility and work to ensure reliable data are collected for both human and animal imaging. I also work on MRI pulse sequence development, reconstruction, and analysis to better understand the sources and effects of alcohol addiction. I have also worked on clinical stroke imaging in CT and MRI, as well as techniques for high resolution 3D Diffusion-weighted MRI of the brain to better visualize white matter tracts in order to better detect the subtle changes associated with degenerative diseases such as Alzheimer's disease. I earned my PhD with a variety of work including cancer metabolism using hyperpolarized 13C, and data analysis of the effects of asthma on the lungs. My interests are research, technology, and healthcare.
