Inkyu Kevin Kim
About Inkyu Kevin Kim
Inkyu Kevin Kim is the Director, WWHEOR Lead, Economic & Predictive Modeling, Oncology at Bristol Myers Squibb and an Adjunct Lecturer at Thomas Jefferson University.
Company
Inkyu Kevin Kim is currently working at Bristol Myers Squibb as Director, WWHEOR Lead, Economic & Predictive Modeling, Oncology in Princeton, New Jersey, United States. He leads health technology assessment (HTA) activities specifically for the oncology solid tumor portfolio.
Title
Inkyu Kevin Kim holds the title of Director, WWHEOR Lead, Economic & Predictive Modeling, Oncology at Bristol Myers Squibb.
Previous Positions
Inkyu Kevin Kim has held several prominent positions in the past. He worked at Optum as Director, Comparative Effectiveness Research, Healthcare Economics from 2019 to 2020 in the Greater New York City Area. At Novartis, he served as Associate Director, HE&OR, Modeling from 2017 to 2019. From 2015 to 2016, he was a Senior Research Scientist at Battelle, focusing on health economics at the CDC in the Greater Atlanta Area. He also served at Battelle as a Principal Research Scientist from 2011 to 2014. In addition, he was a Senior Research Analyst at the Milken Institute from 2006 to 2011 and a Prevention Effectiveness Fellow at the CDC from 2004 to 2006.
Teaching Roles
Inkyu Kevin Kim is currently an Adjunct Lecturer at Thomas Jefferson University. He has also served as an Adjunct Professor at Baruch College, City University of New York (CUNY) from 2001 to 2004.
Education and Expertise
Inkyu Kevin Kim earned his Ph.D. in Economics from the City University of New York Graduate Center, where he studied from 2000 to 2004. He also holds an M.A. in Economics from Yonsei University, achieved between 1995 and 1997, and a B.A. in International Trade from Kookmin University, obtained from 1987 to 1994. He possesses robust expertise in health technology assessment, epidemiology, econometrics, and mathematical modeling methodologies, including cost analysis, cost-benefit, cost-effectiveness, cost-utility, resource allocation models, and various forms of economic and health data analysis.