About this Event
Meet A Data Scientist-Luis Ruiz Pestana | 4:00 -5:00PM This lecture series is free and open to the public.
Tuesday, November 16, 2021
TALK TITLE: “Can data science help us understand the laws of nature?”
The Meet a Data Scientist series is a chance to get up close and personal with top-level data science professionals. Join us for a talk with Dr. Luis Ruiz Pestana, an expert in molecular modeling and simulation whose research is focused on understanding the amazing properties of nanostructured materials.
The purpose of the Meet a Data Scientist lecture series is to introduce our audience to the people behind the data, their lives, interests, career choices, their work, and passion for how they can use data to solve grand challenges in their respective fields. Join us as we peer behind the curtain and meet the data scientists behind the data!
During the last decade, data science has had a tremendous impact on a variety of industries ranging from technology companies to marketing or finance. Only recently have data-driven approaches begun to be applied to solve problems in the physical sciences. Furthermore, the scientific community is divided as to whether black-box approaches can help us better understand the world around us. In this talk, I will overview some hard problems in physics, materials science, and chemistry, where data-driven methods may be our only hope to make progress. I will also discuss the enticing possibility of combining physical simulations—a potentially unlimited source of big data—with data science approaches to tackle persistent challenges in materials science and engineering.
Dr. Ruiz Pestana has been an Assistant Professor in the Civil, and Architectural Engineering Department at the University of Miami since 2019. He obtained his PhD in Theoretical and Applied Mechanics from Northwestern University in 2015, where he made important contributions to the areas of nanomechanics, self-assembly, and selective molecular transport in peptide nanotubes, as well as developed mesoscale models to study the mechanical properties of large-scale multilayer graphene assemblies. After his PhD, he became a postdoctoral fellow at the University of California Berkeley and Lawrence Berkeley National Laboratory, where he used quantum mechanical simulation methods to investigate nanoconfinement effects on chemical reactivity.
Currently, he uses physics-based multiscale simulation techniques and data-driven approaches to investigate the unusual properties of nanostructured materials. The ultimate aim of his research is to discover and design advanced nanomaterials that can tackle persistent societal challenges, from sustainable infrastructure to clean energy.
AudienceAlumni General Public Faculty Students Students - Undergrad Students - Grad/Professional Prospective Students Students - International Admitted Students Staff
DepartmentInstitute for Data Science and Computing