Contributor

Massimiliano (Max) Lupo Pasini is a Data Scientist in the Computational Engineering and Energy Science group at the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL).

He was previously a Postdoctoral Researcher Associate in the Scientific Computing group at the National Center for Computational Sciences (NCCS) at ORNL.

Massimiliano’s research at ORNL focuses on the development of hyper parameter optimization techniques for DL models and acceleration of computational physics applications using DL techniques as surrogate models.

Massimiliano obtained his PhD in Applied Mathematics at Emory University in Atlanta (GA) in May 2018. The main topic of his doctorate work was the development of efficient and resilient linear solvers for upcoming computing architectures moving towards exascale (10^18 FLOPS) capacities. Massimiliano obtained his Bachelor of Science and Master of Science in Mathematical Engineering at the Politecnico di Milano in Milan, Italy. The focus of his undergraduate and master studies was statistics and discretization techniques and reduction order models for partial differential equations.