About Me 

My passion is to create computational models and data analysis tools that help us make the best decisions for dealing with climate change challenges. Currently, I am a Postdoctoral Associate at the MIT Energy Initiative, developing accurate and efficient computational models of energy storage for capacity expansion modeling. 

I have developed novel methods for time-dependent reliability and risk-based design frameworks accounting for nonstationarity and serial correlation embedded in the stochastic climate-ocean processes. I am passionate about importing state-of-the-art data science methodologies to applications in the energy sector and civil infrastructures. It is always inspiring for me to meet and mentor enthusiastic students for their exciting research projects.

If you have any questions about my work, would like to collaborate, or would like a copy of a journal article behind a paywall, please feel free to email me: taemin at mit.edu.

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Experience

Postdoctoral Associate, MIT Energy Initiative, June 2024 - present.

Postdoctoral Fellow, Computational Visualization Center, The Oden Institute for Computational Engineering and Sciences and the Department of Computer Science at the University of Texas at Austin, Jan 2023 - May 2024.  

Education

2022             Ph.D. Civil, Architectural and Environmental Engineering, The University of Texas at Austin

2021              M.S. Computational Science, Engineering, and Mathematics, The University of Texas at Austin

2018              M.S. Civil and Environmental Engineering, Seoul National University

2016              B.S. Civil and Environmental Engineering, Seoul National University