معرفی
Joe Gomes is an Assistant Professor in the Department of Chemical and Biochemical Engineering at the University of Iowa, affiliated with the Iowa Technology Institute and the Iowa Initiative for Artificial Intelligence. With a PhD in Chemical Engineering from UC Berkeley (2015), he focuses on computational material design, quantum simulations, and physics-informed machine learning.
- Education:
- PhD, Chemical Engineering, University of California Berkeley (2015)
- BS, Chemical Engineering, University of Illinois Chicago (2008)
His research integrates artificial intelligence with quantum chemistry to address problems in catalysis and energy materials. Recent work applies deep learning to atmospheric data analysis (ICESat-2, VIIRS) and reaction pathway optimization. He contributes to open-source quantum chemistry software via the Q-Chem 5 package.
His publications span molecular deep learning, transition state searches, and computational force field optimization, demonstrating interdisciplinary expertise in chemical engineering, machine learning, and environmental science. Collaborations include advanced data-driven modeling in molecular science and education initiatives in undergraduate data science curricula.
