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.
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PhD in Aerospace Engineering, 2020
Stanford University
MS in Aerospace Engineering, 2018
Stanford University
BS in Mechanical Engineering, 2014
Olin College
Understanding Engineers’ Reasoning Under Uncertainty
Developing user-focused software for model analysis under uncertainty
Accelerating materials development with data science