The Center for Interdisciplinary Scientific Computation (CISC) seminar series continues with its third installment on Wednesday, October 11 from 12:45–1:45 p.m. in the Robert A. Pritzker Science Center, Room 129. The seminar will feature research that might spark some fruitful interdisciplinary collaboration. To attend, please RSVP here by noon on Tuesday, October 10. Lunch will be provided. To learn more about upcoming and past events, click here.

Matthew Dixon, assistant professor of finance
Deep Learning for Spatio-Temporal Flows

Prediction and uncertainty quantification of spatio-temporal flows is a challenging problem as dynamic spatio-temporal data possess underlying complex interactions and nonlinearities. Traditional statistical modeling approaches use a data generating process, generally motivated by physical laws or constraints. With examples in traffic and high frequency trading, this talk explores the wider implications for scientific research when such interactions and nonlinearities can be captured without using a data generating process.

Jeff Wereszczynski, assistant professor of physics
Understanding Biomolecular Mechanisms With Molecular Dynamics Simulations

The physical functions and interactions of biological macromolecules form the basis for the diverse mechanisms that occur in the cell and underpin the processes that make life possible. To better understand the physical basis for how protein, DNA, and other biological macromolecules function, Wereszczynski’s group utilizes conventional and advanced molecular dynamics simulations to provide atomic-level descriptions for the kinetics and thermodynamics of systems of interest. This talk will describe how they are using these methods on a variety of systems, as well as the challenges and opportunities they present.