Joseph Sang‐Il Kwon

This researcher works in chemical and process engineering, focusing on building mathematical and computational models of chemical and biological processes—such as bioreactors, crystallization, catalysis, and hydraulic fracturing—to better predict and control how they behave. A major recent emphasis is on combining traditional physics-based models with machine learning (especially transformer-based AI models) to improve predictions in areas like drug development, pharmacokinetics, and molecular design. Prospective students would likely engage with process modeling, simulation, control systems, and applied machine learning tools for engineering and pharmaceutical applications.

Publication output rose from 2017 to a peak around 2022, then has gradually declined through 2025, though it remains fairly steady at over 20 papers per year on average.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026