Chanmin Kim
Associate Professor Of Statistics
Seoul, South Korea
Summary
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Senior🎓
Top SchoolChanmin Kim is an Associate Professor of Statistics at Sungkyunkwan University with a decade of academic and research experience spanning Bayesian nonparametrics, machine learning for causal inference, and scalable analysis of large health datasets. Trained with a PhD from the University of Florida and postdoctoral work at Harvard, he has held faculty and research roles at Boston University and Harvard, bridging biostatistics and environmental health research. His work focuses on assessing air pollutant impacts using cutting-edge probabilistic models that scale to big data, combining methodological innovation with applied public-health problems. Chanmin brings both theoretical rigor and practical implementation experience, having transitioned from postdoc to tenure-track roles while maintaining cross-institutional collaborations. He is based in Seoul and known for translating complex Bayesian methods into tools that inform real-world policy and clinical questions. An unassuming but persistent contributor to causal inference methodology, he emphasizes reproducible, scalable solutions for environmental epidemiology.
10 years of coding experience
9 years of employment as a software developer
Postdoctoral Fellow, Biostatistics, Postdoctoral Fellow, Biostatistics at Harvard UniversityMaster of Arts - MA, Statistics, Master of Arts - MA, Statistics at Columbia University in the City of New YorkDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of FloridaGithub contributions (5)
lit777/lit777.github.io
Dec 2017 - Feb 2025
Contributions:134 pushes, 3 branches in 7 years 2 months
lit777/Current-Projects
Feb 2018 - Sep 2023
Contributions:14 pushes, 1 branch in 5 years 8 months
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