Alexander W. Dowling

Prof. Alexander W. Dowling is an Associate Professor at the Department of Chemical and Biomolecular Engineering within the College of Engineering at the University of Notre Dame. He holds joint appointments with the Department of Applied & Computational Mathematics & Statistics and is affiliated with the Center for Sustainable Energy at Notre Dame (ND Energy) and the Center for Nano Science and Technology (ND nano). His research combines chemical engineering, computational optimization, machine learning, and data science across three core themes: (1) molecular-to-systems (multiscale) modeling and optimization, (2) optimal design of experiments and statistical inference, and (3) machine learning for bridging timescales.

Dowling earned his Ph.D. in Chemical Engineering from Carnegie Mellon University (2015) and a B.S.E. from the University of Michigan-Ann Arbor (2010). His research applications span energy markets and infrastructure, integrated energy systems, carbon capture and sequestration, circular economies for refrigerants, sustainable hydrogen production, critical minerals, and advanced separation technologies like membranes and ionic liquids.

• Education
• Ph.D., Carnegie Mellon University, 2015
• B.S.E., University of Michigan-Ann Arbor, 2010

His recent publications focus on multiscale modeling frameworks, Bayesian hybrid models for uncertainty quantification, and machine learning applications in energy systems and materials design. These works emphasize techno-economic analysis, dynamic process optimization, and uncertainty mitigation strategies.

Scientific awards include the 2025 James A. Burns, C.S.C., Award and the 2020 NSF CAREER Award (CBET-1941596). He actively mentors graduate students and postdoctoral researchers, with lab alumni including Dr. Bridgette Befort (2022), Dr. Xian Gao (2022), Dr. Ke Wang (2025), and Dr. Jialu Wang (2024).