Can you study Artificial Intelligence, Machine Learning, and/or Data Analytics in the Department of Chemical Engineering & Applied Chemistry? Absolutely!
Meet our faculty members who work in these areas:
Yuri A. Lawryshyn
"My research is focused on applying mathematical and numerical modeling in two broad areas: financial analysis and applied computational fluid dynamics (CFD). A key aspect of my research is the application of modeling to solve practical problems. My financial analysis research is primarily focused in the valuation of engineering projects with an emphasis on real options."
"We have developed accurate biosensors for small metabolites and are leveraging these sensors along with in house automation and collaboration with Joint Genome Institute (JGI) to generate data and are developing novel machine learning methods for protein language modeling using natural language processing algorithms."
Seyed Mohamed Moosavi
"The Artificial Intelligence for Chemical Science (AI4ChemS) group is a highly interdisciplinary research unit working at the intersection of machine learning, computation, and their applications in innovation in accelerated materials design and discovery. We have strong expertise in developing machine learning and computational methods in the field of reticular chemistry and porous materials, including metal-organic frameworks, covalent organic frameworks, and zeolites."