Alex Alberts

Visiting Assistant Professor
Engineering Sciences and Applied Mathematics
Northwestern University

I study how to learn about physical systems from incomplete data while describing the remaining uncertainty.

My research connects Bayesian inverse problems, uncertainty quantification, and scientific machine learning, drawing on ideas from information field theory and mathematical physics.

Explore my research Google Scholar
Alex Alberts, wearing glasses and a blue shirt, outdoors.

About me

I am a Visiting Assistant Professor at Northwestern University in the Department of Engineering Sciences and Applied Mathematics. I develop mathematical frameworks and computational methods for recovering quantities that cannot be measured directly using known physical laws or other prior information. I am interested in how probabilistic physical models can be defined, what their assumptions mean, and how they behave when combined with experimental data.

I received my PhD in Mechanical Engineering from Purdue University in 2024, advised by Ilias Bilionis, and continued at Purdue as a postdoctoral researcher until 2026. Before that, I earned my BS and MS in Applied Mathematics at the University of Akron.

cv