Modeling, Simulation, and
Data Science
Where numerical and data-driven science improves design, operation and control of complex systems
Advanced computational methods and AI are used by our faculty to model complex chemical and biological systems across many length and time scales. This research contributes physical insight and guides experimental design, and it is being applied across a range of applications including dynamics of proteins and DNA, heterogeneous catalytic reactions, and multiphase flow.
Assistant Professor, Jack R. and Carol A. Johnson Faculty Fellow in Chemical and Biological Engineering
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(515) 294-4959
Professor and Reginald R. Baxter Endowed Department Chair
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(515) 294-6438