Research

Research Interests

• Deep learning, Machine learning, Text mining, Big data analytics

• Machine learning-based toxicity prediction, Machine learning-based drug discovery

• Robust methods in (generalized) nonlinear (mixed effects) models

• Toxicology/pharmacological data analysis, Dose-response study, High throughput screening assays

• Pharmacokinetic models, Physiologically based pharmacokinetic models

• Applied statistics and applied biostatistics, Clinical trials 

Projects

• A Study on Robust Methods for Nonlinear Models with Application to Toxicology/Pharmacology (National Research Foundation of Korea (NRF) 2014.11~2017.05)

• Development of Unstructured Data Analysis Techniques in Meteorological Observation and Forecast (Korea Meterological Institute 2015.09~2018.08)

• Based Study on Introduction of Intelligent Chemical Hazard Assessment System (National Institute of Environmental Research  2018.03~2018.11)

• Development of Heterogeneous Big Data Intergration and Processing Models Based on Deep Learning Techniques Phase 1 (NRF 2017.11~2018.02)

• A Study on Robust Methods for Nonlinear Mixed Effects Models with Application to Toxicological/Pharmacological Data (NRF 2017.06~2020.05)

• Development of Heterogeneous Big Data Integration and Processing Models Based on Deep Learning Techniques Phase 2 (NRF 2018.03~2021.06)

• Development of Environmental Diseases Prediction Model Based on Molecular Toxicity Network (Korea Environmental Industry & Technology Institute 2021.04~2025.12)

• Development of Improved Deep Learning Model for Disease Prediction Based on Medical Image through Statistical Methodology (NRF 2021.06~2024.02)

• Study on Pathogen Mutation Prediction Using Artificial Intelligence (Seegene 2021.06~2021.12)

• Development of Stock Prediction Models using Explainable AI with  Multi-modal  Data  and  Deep  Reinforcement  Learning (NRF 2022.07~2025.06)

• Study on Multimodal Deep Learning Models for Integrated Analysis of Heterogeneous Data (NRF 2024.05~2027.04)