Migon Choi

About Me

I am a materials scientist working at the intersection of experimental science, machine learning, and data-driven decision-making.

My research focuses on making machine learning useful for real experimental systems — particularly when data are small, noisy, heterogeneous, and expensive to acquire.

I am particularly interested in developing systems that move beyond prediction toward uncertainty-aware decision-making and closed-loop experimentation.

If you’re interested in research collaborations or data-driven materials science, feel free to reach out via email.