Daeho Jin is an Associate Research Scientist with eight years of post-PhD experience applying quantitative and computational methods to atmospheric and oceanic science at NASA Goddard and affiliated institutions. He develops and applies cloud-precipitation regime diagnostics across scales—from convective organization to climate variability such as the MJO—and evaluates AGCM cloud performance using clustering and spatio-temporal matching techniques. Proficient in scientific computing (Python, Fortran, C++, OpenMP) he builds custom code for simulation, statistical testing, optimized model comparison, and publication-quality visualization. His work bridges theory and operational evaluation, combining deep domain expertise in ENSO, monsoon intraseasonal variability, and air–sea interactions with practical software engineering to translate complex datasets into actionable insights. An unassuming trait: he prefers crafting bespoke analysis tools rather than relying on black-box packages, ensuring scientific rigor and reproducibility.
8 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Atmospheric Sciences and Meteorology, Bachelor's degree, Atmospheric Sciences and Meteorology at Seoul National University
hansung science high school
Doctor of Philosophy (Ph.D.), Climate Dynamics - Earth Science, Doctor of Philosophy (Ph.D.), Climate Dynamics - Earth Science at George Mason University
Contributions:1 release, 4 pushes, 1 branch in 3 months
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