Contact Me

[email] dohyo.jeong@utdallas.edu

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Dohyo Jeong is a PhD candidate in Public Policy and Political Economy at the University of Texas at Dallas. His research focuses on optimizing public resource allocation, particularly in public health, government finance, and public policy analysis. He is driven by a strong commitment to improving public health outcomes and promoting efficient and equitable use of public resources.

The research interests include:

  • Public Health: He examines the effectiveness of public health interventions and policies, with a focus on improving health outcomes for vulnerable regions. He is particularly interested in using spatial-temporal models to understand the geographic and temporal distribution of health risks and outcomes.

  • Government Finance: He studies the design and implementation of fiscal policies, including tax and spending policies, with a focus on their impact on economic growth and inequality. He is also interested in the use of machine learning techniques to improve the efficiency and accuracy of fiscal policy forecasting.

  • Public Policy Analysis: He employs rigorous empirical methods, including econometrics and Bayesian analysis, to evaluate the causal effects of policy interventions. He is also proficient in a variety of research methods, including quantitative and qualitative analysis, GIS, and survey research.

Dohyo Jeong is committed to advancing the field of public policy through innovative research and evidence-based policymaking. He is an active member of the academic community and has presented his research at several conferences. He is also a passionate advocate for public service and has worked on various projects to improve the lives of communities around the world.

Dohyo Jeong is a highly skilled and motivated researcher with a strong academic background and a deep commitment to public service. He is a valuable asset to the University of Texas at Dallas and the field of public policy.

Research Topic:

  • Public Resources Allocation

  • Public Health

  • Finance

  • Public Policy Analysis

Methodology Topic:

  • Spatial-Temporal Causal Inference

  • Bayesian Inference

  • Machine Learning

  • Geographic Information Science

Awards, Scholarships and Honors

  • President Travel Award for APPAM, The Korean Association for Policy Studies (Fall, 2023)

  • Awarded Government and Political Science Fellowship in University of Texas at Dallas (Spring, 2023)

  • Nominated for President’s Teaching Excellence Awards in University of Texas at Dallas (Spring, 2023)

  • Awards 3rd prize in the treatise contest by the KOREA INSTITUTE OF PUBLIC FINANCE (Sep. 2022)

  • Awards for Excellent Records, Sungkyunkwan University (Feb. 2019)

  • Awards The 3rd Report for Korea National Tax Administration Policy Proposal Contest, National Tax Service (Nov. 2018)

  • Academic Excellence Scholarship, SUNGKYUNWAN UNIVERSITY (Fall 2018)

  • Academic Excellence Scholarship, SUNGKYUNWAN UNIVERSITY (Spring 2018)

  • Academic Excellence Scholarship, SUNGKYUNWAN UNIVERSITY (Fall 2017)

  • An Excellent-grade Scholarship, SEOKYEONG UNIVERSITY (Fall 2016)

  • An Excellent-grade Scholarship, SEOKYEONG UNIVERSITY (Spring 2016)