Zachary del Rosario is an Assistant Professor of Engineering and Applied Statistics at Olin College. His goal is to help scientists and engineers reason under uncertainty. Zach uses a toolkit from data science and uncertainty quantification to address a diverse set of problems, including reliable aircraft design and AI-assisted discovery of novel materials.
Download my CV.
Interests
- Uncertainty Quantification
- Data Science
- Materials Informatics
- Aircraft Structural Design
Education
-
PhD in Aerospace Engineering, 2020
Stanford University
-
MS in Aerospace Engineering, 2018
Stanford University
-
BS in Mechanical Engineering, 2014
Olin College