Prof. Alexander W. Dowling
Principal Investigator
- Office
- 256 Nieuwland Science Hall
- Phone
- 574-631-4041
- adowling@nd.edu
Associate Professor of Chemical & Biomolecular Engineering (primary), 2023 – current
Assistant Professor of Chemical & Biomolecular Engineering (primary), 2017 – 2023
Concurrent Faculty of Applied & Computational Mathematics & Statistics, 2022 – current
Education and Training
Postdoctoral Fellow, UW-Madison, 2015 – 2017
Ph.D., Carnegie Mellon University, Chemical Engineering, 2015
B.S.E., University of Michigan, Chemical Engineering, 2010
Long Biosketch
Alexander (Alex) Dowling is the Tony and Sarah Earley Collegiate Associate Professor of Energy and the Environment at the University of Notre Dame (Indiana, USA). He is in the Department of Chemical and Biomolecular Engineering, with a concurrent appointment in Applied and Computational Mathematics and Statistics.
Prof. Dowling's research combines chemical engineering, computational optimization, machine learning, and data science, organized in three research themes: (1) molecular-to-systems (multiscale) modeling and optimization, (2) optimal design of experiments and statistical inference, and (3) machine learning for bridging timescales. Application domains include energy markets and infrastructure, integrated energy systems, carbon sequestration, sustainable hydrogen, critical mineral recycling, advanced separations (membranes, ionic liquids), and systems biology. His research group contributes to several open-source scientific computing projects, including the Institute for the Design of Advanced Energy Systems (IDAES). Within the Pyomo project, Prof. Dowling's group leads the development of instructive uncertainty quantification and optimal experiment design capabilities.
Prof. Dowling has been recognized with an NSF CAREER award (2019), the CAST Outstanding Young Researcher Award from AIChE (2025), the Junior Sargent Medal from IChemE (2023), the university-wide Mentoring Award from the Graduate Student Government (2023), the James A. Burns, C.S.C., Award (2025), and two R&D 100 awards. He holds a B.S.E. from the University of Michigan - Ann Arbor and a Ph.D. from Carnegie Mellon University, all in chemical engineering.
Short Biosketch
Alexander (Alex) Dowling is the Tony and Sarah Earley Collegiate Associate Professor of Energy and the Environment at the University of Notre Dame (Indiana, USA). His research combines chemical engineering, computational optimization, machine learning, and data science, organized in three research themes: (1) molecular-to-systems (multiscale) modeling and optimization, (2) optimal design of experiments and statistical inference, and (3) machine learning for bridging timescales. Application domains span sustainable energy, environmental management, and systems biology. Prof. Dowling has been recognized with several awards, including the NSF CAREER award, the CAST Outstanding Young Researcher Award, the Junior Sargent Medal, and the James A. Burns, C.S.C., Award. He holds a B.S.E. from the University of Michigan - Ann Arbor and a Ph.D. from Carnegie Mellon University, all in chemical engineering.
Seminar Information
- Bayesian optimization for chemical products and functional materials, Current Opinion in Chemical Engineering, 2022, 36, p. 100728 [link]
- High-performance thermoelectric composites via scalable and low-cost ink processing, Energy & Environmental Science, 2024 [link]
- Bayesian Optimization of Low-Temperature Nonthermal Plasma Jet Sintering of Nanoinks, ACS Applied Materials & Interfaces, 2024 [link]
- Pyomo.DoE: An Open-Source Package for Model-Based Design of Experiments in Python. AIChE Journal, 2022, 68(12), p. e17813 [link]
- Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements. Computers & Chemical Engineering, 2024 [link]



