Jungsik Noh was born in Pusan, Korea. He received his Ph.D. in Statistics from Seoul National University in Korea, where his research focused on the quantile regression for various time series models. Since he moved to the United States, he has been working on statistical methods for biomedical data including genomic data and microscopic images. His current research focuses on time series analysis of molecular signals extracted from live cell microscopic images to study the mechanisms of cell migration. A sequence of live cell images with multiple channels contains valuable information on how molecules function together over time and subcellular regions. He is applying and developing stochastic models and statistical methods to infer causal relations between the molecular signals for better understanding of underlying biological interactions.
- Causal inference for time series of microscopic images
- Statistical methods for genomic data
- Time series analysis
- Quantile Regression for Location-Scale Time Series Models with Conditional Heteroscedasticity
- Noh, J. and Lee, S. Scandinavian Journal of Statistics 2016 43 3 700-720
- Quantile regression estimation for discretely observed SDE models with compound Poisson jumps
- Noh, J., Lee, S. Y. and Lee, S. Econ. Lett. 2012 117 3 734-738