Research Highlights
Research Interests
Machine learning.
Artificial Intelligence.
Hurricane modeling.
Hurricane predictions.
Mu-Chieh (Laura) Ko
Senior Research Associate I (University of Miami/CIMAS), Hurricane Research Division
305.361.4551
4301 Rickenbacker Causeway
Miami, Florida 33149
Mu-Chieh (Laura) Ko’s research work mainly focuses on developing an Artificial Intelligence/Machine Learning model, specifically for probabilistic hurricane intensity changes. She is also passionate about hurricane rainfall modeling and evaluation.
Current Work
Senior Research Associate I, (University of Miami/CIMAS), Hurricane Research Division
2021, M.S., Electrical & Computer Engineering, University of Miami, Miami, FL
2016, M.P.S., Meteorology, University of Miami, Miami, FL
2014, B.S., Atmospheric Sciences, National Central University, Taoyuan City, Taiwan
- Ko, M.-C., X. Chen, M. Kubat, and S. Gopalakrishnan. The development of a consensus machine learning model for hurricane rapid intensification with Hurricane Weather Research and Forecasting (HWRF) data. Weather and Forecasting, 38(8):1253-1270, https://doi.org/10.1175/WAF-D-22-0217.1 2023
Ref. 4268 - Ko, M.-C., F.D. Marks, G.J. Alaka, and S.G. Gopalakrishnan. Evaluation of Hurricane Harvey (2017) rainfall in deterministic and probabilistic HWRF forecasts. Atmosphere, 11(6):666, https://doi.org/10.3390/atmos11060666 2020
Ref. 3814
2020 American Meteorological Society Honorable Mention for Outstanding Presentation
Artificial Intelligence for Environmental Science Conference Student Presentation Contest