I am a physician-scientist with an appointment as a Pathways to Independence Instructor at the Biological Sciences Division, University of Chicago. I hold an MD from Chung-Ang University and completed my Internal Medicine Residency at the Cook County Hospital. I received an MSc and DPhil in Evidence-Based Health Care from the University of Oxford, where I developed deep expertise in "research on health research," focusing on projects exploring waste and inefficiency in clinical prediction rule research. Then, I conducted projects to set priorities for a Norwegian funder by quantifying the health benefits of research proposals to Norwegian society. Currently, I am supported by a KL2 Career Development Award and a CBPR Training and Research Award through the Institute for Translational Medicine. I have three research focuses. First, I am evaluating whether research priorities about the health of older adults experiencing housing instability reflect what matters to those who are affected by research and developing methods to communicate these priorities effectively. Second, I am determining mechanisms through which housing instability influences health outcomes among hospitalized patients. Third, I am developing various strategies to reduce poor health outcomes among patients experiencing housing instability. I teach systematic reviews to early-career researchers and clinicians at the Summer Program in Outcomes Research Training (SPORT).
University of Oxford
Oxford, UK
DPhil - Evidence-Based Health Care
2021
University of Oxford
Oxford, UK
MSc - Evidence-Based Health Care
2013
Chung-Ang University
Seoul, Korea
MD - Medicine
1997
Determining the Conclusiveness of Systematic Review Evidence : A Scoping Review of Methodological Approaches.
Determining the Conclusiveness of Systematic Review Evidence : A Scoping Review of Methodological Approaches. Ann Intern Med. 2026 Mar 10.
PMID: 41802258
Research inefficiencies in external validation studies of the Framingham Wilson coronary heart disease risk rule: A systematic review.
Research inefficiencies in external validation studies of the Framingham Wilson coronary heart disease risk rule: A systematic review. PLoS One. 2024; 19(9):e0310321.
PMID: 39269949
Influence of research evidence on the use of cardiovascular clinical prediction rules in primary care: an exploratory qualitative interview study.
Influence of research evidence on the use of cardiovascular clinical prediction rules in primary care: an exploratory qualitative interview study. BMC Prim Care. 2023 09 20; 24(1):194.
PMID: 37730553
Design, methods, and reporting of impact studies of cardiovascular clinical prediction rules are suboptimal: a systematic review.
Design, methods, and reporting of impact studies of cardiovascular clinical prediction rules are suboptimal: a systematic review. J Clin Epidemiol. 2021 05; 133:111-120.
PMID: 33515655
GPs' familiarity with and use of cardiovascular clinical prediction rules: a UK survey study.
GPs' familiarity with and use of cardiovascular clinical prediction rules: a UK survey study. BJGP Open. 2020 Dec; 4(5).
PMID: 33023870
Evidence-Based Research Series-Paper 3: Using an Evidence-Based Research approach to place your results into context after the study is performed to ensure usefulness of the conclusion.
Evidence-Based Research Series-Paper 3: Using an Evidence-Based Research approach to place your results into context after the study is performed to ensure usefulness of the conclusion. J Clin Epidemiol. 2021 01; 129:167-171.
PMID: 32979490
Predictors for independent external validation of cardiovascular risk clinical prediction rules: Cox proportional hazards regression analyses.
Predictors for independent external validation of cardiovascular risk clinical prediction rules: Cox proportional hazards regression analyses. Diagn Progn Res. 2018; 2:3.
PMID: 31093553
Why do authors derive new cardiovascular clinical prediction rules in the presence of existing rules? A mixed methods study.
Why do authors derive new cardiovascular clinical prediction rules in the presence of existing rules? A mixed methods study. PLoS One. 2017; 12(6):e0179102.
PMID: 28591223
Design Characteristics Influence Performance of Clinical Prediction Rules in Validation: A Meta-Epidemiological Study.
Design Characteristics Influence Performance of Clinical Prediction Rules in Validation: A Meta-Epidemiological Study. PLoS One. 2016; 11(1):e0145779.
PMID: 26730980