Interest
Mathematical modeling
Infectious diseases, Compartmental model, Deterministic model, Agent-based model (ABM), Stochastic model, Hierarchical model, Network model, etc.
Mathematical analysis
ODE, DDE, Stability analysis, Optimal control, Numerical analysis
Optimization
Least-squares estimation (LSE), Maximum likelihood estimation (MLE), Bayesian inference, Bootstrapping, Machine learning, etc.
Economic evaluation of disease control interventions
Cost-effectiveness analysis (CEA), Cost-benefit analysis (CBA), Pre-exposure prophylaxis (PrEP), Vaccination, Diagnosis, Treatment, etc.
Data analysis and Machine Learning
Epidemiological data, Contact survey, Transportation flow, Deep learning, Reinforcement learning
Education
Yonsei University
Thesis: "Mathematical modeling to evaluate interventions for infectious diseases"
Supervisor: Professor Jeehyun Lee
Yonsei University
Skills
Certificates
Summer Bootcamp of Infectious Disease Modeling 2019
Hiroshi Nishiura, Tachikawa, Tokyo, Japan
Deep Learning Nanodegree
Udacity
Business Analyst Nanodegree
Udacity
Epidemiological Data Analysis Using R
The Korean Society of Health Informatics and Statistics
Machine Learning
Andrew Ng, Stanford University, Coursera
Experience
WORK
Admistrator
Jeehyun Lee's team
In charge of administrative work in the team
Data Analyst
SMCQ (Business consulting company)
Customer and inventory data analysis
Undergraduate Research Program Intern
Computational Science and Engineering, Yonsei University
Algorithm development for real-time PCR, Numerical analysis, Finite element method (FEM)
TEACHING
Topics in Mathematics I (MAT4105)
Teaching assistant
Infectous Disease Modeling Tutorial Using MATLAB
Instructor
Infectous Disease Modeling Tutorial Using R
Instructor
Infectous Disease Modeling Tutorial Using Python
Instructor
Infectous Disease Modeling Tutorial Using MATLAB
Instructor
References
Jung Ho Kim
Assistant Professor, Yonsei University College of Medicine
Collaborator: malaria research
