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Ben Bates

Postdoctoral Fellow in Cancer Pharmacoepidemiology

Ben Bates (M.D., University of Mississippi Medical Center; Internal Medicine Residency, Rutgers-RWJMS) is a board-certified physician in internal medicine and presently a post-doctoral fellow in cancer pharmacoepidemiology. His research focuses on understanding the real-world use, effectiveness and adverse outcomes of treatments. The majority of his research involves the evaluation of treatments among patients with cancer,


Matthew Beier

Medical Student

About Matt Beier is a medical student at Rutgers, Robert Wood Johnson Medical School working under the guidance of Dr. Daniel Horton.  He previously earned a B.S. in Chemical Engineering from Oklahoma State University and an M.F.E. from UC Berkeley. Matt spent close to a decade working on Wall Street and in Silicon Valley before


Daniel Dudman

Post-Doctoral Fellow

About Daniel Dudman (Butler University, 2019) is a post-doctoral fellow in Quantitative Safety & Epidemiology at the Rutgers Institute for Pharmaceutical Industry Fellowships and Novartis. Daniel has a background in big data analysis, which he uses to conduct his epidemiology research.  He is also pursuing a certificate in pharmacoepidemiology at the Rutgers School of Public


Joshua Gilman, MD

Resident Physician

Joshua Gilman is a resident physician at Boston University/Boston Medical Center in Boston, MA. He graduated with a medical degree from Rutgers, Robert Wood Johnson Medical School in 2019 and is currently completing his training in internal medicine with plans to pursue a career in cardiology. During medical school, Josh spent time using large-scale databases


Mackenzie Henderson

Post-Doctoral Fellow, Pharmacoepidemiology

About Mackenzie Henderson (PharmD, Rutgers Ernest Mario School of Pharmacy, 2019) is a post-doctoral fellow in pharmacoepidemiology at the Rutgers Institute for Pharmaceutical Industry Fellowships and Daiichi Sankyo, Inc., mainly focused on oncology research. Additionally, she is adjunct faculty at the Rutgers Ernest Mario School of Pharmacy and is currently working toward a certificate in


Divya Hoon

Resident Physician

About Divya Hoon is a resident physician at Mount Sinai Hospital completing training in their triple board program (pediatrics/psychiatry/child and adolescent psychiatry). She recently graduated from Rutgers, Robert Wood Johnson Medical School with a distinction in research in 2020. She spent her four years at RWJMS researching trends in off-label drug use in the pediatric


Julia Liaw

Research Assistant

About Julia Liaw (PharmD Candidate 2023 Rutgers, The State University of New Jersey – New Brunswick, NJ) has been a junior research assistant at PETS for over a year. At the Center, Julia performs data management, data analyses for methodological and pharmacoepidemiological studies including studies on whether Angiotensin II Receptors Blockers (ARBs) generics tainted with Nitrosamines (NDMA)


Izumi Sato, MPH, PhD

Visiting Scholar

About Izumi Sato (MPH, Public Health/Epidemiology, University of Tokyo, 2010; PhD, Health Science, University of Tokyo) is a pharmacist and a Program Specific Assistant Professor in the department of Pharmacoepidemiology in the Graduate School of Medicine at Kyoto University. She is also a researcher in the Keihanshin Consortium for Fostering the Next Generation of Global


Matthew Taylor

Research Project Coordinator

About Matthew Taylor (BS, Biostatistics, The College of New Jersey, 2017) is the research project coordinator and junior data analyst at PETS. At the Center, Matt performs data management, data analyses and other research support for a variety of methodological and applied pharmacoepidemiological studies including studies on data linkage and opioid use. Additionally, he is further


Keita Tsuyuguchi

Visiting Scholar

About Keita Tsuyuguchi is an undergraduate student in the Department of Pharmacy and Pharmaceutical Sciences at Kanazawa University in Japan. He also belongs to three laboratories at Kanazawa University, including: Division of Endocrinology, Metabolism and Diabetes/Department of Cardiovascular and Internal Medicine, Artificial Intelligence Laboratory/Division of Electrical Engineering and Computer Science, and the Department of Health