October Event – Driving Materials Innovation with Data: The MDS-Rely Center
PyData Pittsburgh is excited to host our October event – Driving Materials Innovation with Data: The MDS-Rely Center for Industry-Academic Partnerships.
Join us on Thursday, October 16th, as Satish Iyengar, MDS-Rely Co-PI and Professor and Associate Chair of Statistics at the University of Pittsburgh, discusses how data scientists, engineers, and statisticians are working together across institutions to bridge theory and practice, using real-world datasets to push the boundaries of what’s possible in materials reliability and degradation research.
For latest information about time/location and to register please see our meetup page:
About the talk:
The Materials Data Science for Reliability and Degradation (MDS-Rely) Center is a National Science Foundation (NSF) Industry-University Cooperative Research Center led by the University of Pittsburgh, Case Western Reserve University, and Carnegie Mellon University. MDS-Rely brings together industry, government, and academic partners to conduct pre-competitive research that leverages data science to enhance materials performance, reliability, and service life.
From predictive models for battery degradation to data-driven optimization in additive manufacturing and advanced coatings, MDS-Rely tackles real-world industrial challenges with cutting-edge analytics and experimentation. This talk will provide an overview of the Center’s research focus areas, industry engagement opportunities, and how companies can benefit from and shape this collaborative innovation ecosystem.
MDS-Rely homepage:
https://mds-rely.org/
MDS-Rely on LinkedIn: https://www.linkedin.com/company/mds-rely
About the Speaker
Dr. Satish Iyengar: I have been at Pitt since I earned my PhD in Statistics at Stanford. My early work was on the approximation of multivariate probabilities and meta-analysis. My interests include applications of diffusion and point processes and multivariate mixture models, especially to problems in psychiatry and neuroscience. I have served on the Food and Drug Administration’s Advisory Committee for Psychopharmacologic Drugs, and for many years I served on the National Security Agency’s Statistics Advisory Group at Stanford. I have long been interested in stochastic models for degradation (many lead to diffusion processes), so I was very happy when Paul Leu contacted me about MDS-Rely in its planning stages.