School of Medicine
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Perry Nielsen Jr
Masters Student in Health Policy, admitted Autumn 2022
Research Asst - Graduate, Graduate School of Business - Operations, Information and TechnologyBioPerry Nielsen Jr is a Master’s Student in Health Policy at Stanford University. Originally from Colorado, Perry got his Bachelor’s degree in Biochemistry from the University of Florida (Go Gators!) graduating Cum Laude and as a Truman Finalist. During his time in university, he volunteered in the pediatric immunocompromised unit at Shands Hospital and planned service events with local Gainesville nonprofits like Climb for Cancer and Footprints: Buddy and Support Program. He did quality assurance research in the Congenital Heart Center which led him to win 3rd place for original research at a regional Southeast research conference. He also interned at the Colorado Medical Society, where he helped draft a statewide physician counseling program for clinicians facing distress.
Perry is passionate about common sense healthcare reform and the accessible translation of medical research to clinical practice. In his free time, he enjoys meeting local coffee roasters and exploring the vintage fashion scene. Most of all, he’s excited to wander the west coast of the United States and appreciate all the natural beauty of the Bay Area. -
Koen Nieman
Professor of Medicine (Cardiovascular Medicine) and of Radiology (CV Imaging)
Current Research and Scholarly InterestsDr Nieman investigates advanced cardiac imaging techniques. Current projects focus on the development of functional CT application for hemodynamic interpretation of coronary artery disease, and the clinical validation of cardiac CT in the management of patients with ischemic heart disease.
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Kenneth Nieser
Postdoctoral Scholar, General Surgery
BioKen Nieser is a postdoctoral research fellow through the Big Data-Scientist Training Enhancement Program (BD-STEP) at the Palo Alto VA and in the Department of Surgery, Stanford School of Medicine. Ken received a BA in Physics and Mathematics from Swarthmore College and a PhD in Epidemiology with a minor in Statistics from the University of Wisconsin-Madison. During his PhD, Ken developed and applied statistical methods for improving algorithmic fairness of data analyses used to inform screening and treatment of mental illnesses. These projects included development of an approach for detecting sample subsets with differential psychological symptom patterns and a sample representation reweighting method for improving the precision of subgroup-specific treatment effect estimation.
Ken’s current research interests are in health care inequities, quality measurement, and algorithmic fairness. During his fellowship, Ken will be working on investigating the statistical reliability of quality measures and decomposing health care disparities to provide practical information for resolving inequities, with applications in mental health care and surgical care.