Activities
Spring 2026 Seminars
UQ4Life meets weekly Friday’s at 3pm in SAS 5270. The seminars for Spring 2026 are below.
| Date | Presenter | Notes |
| Jan 23 | Brian Reich | We will discuss this paper on reproducing kernel Hilbert spaces. If you are completely new to RKHSs, you might find this video as a useful introduction. |
| Jan 30 | Troy Larsen | Introduction to the Total HSIC Index for Global Sensitivity Analysis [abstract] [slides] |
| Feb 6 | Louisa Ebby and Troy Larsen | We will discuss this paper. Slides 18-41 may be a good primer for the computational approaches in this paper. [discussion] |
| Feb 13 | Carter Hall | Probabilistic B-Spline Modeling for Uncertainty Quantification in Ordinary Differential Equations [abstract] [slides] |
| Feb 20 | Carter Hall | We will discuss this paper. |
| Feb 27 | Louisa Ebby | Estimating global sea surface temperatures from sparse in situ observations [abstract][slides] |
| Mar 6 | Adira Cohen, Sophie Farr, and Jacob Porter | We will discuss this paper. [discussion] |
| Mar 13 | N/A | Spring Break |
| Mar 20 | N/A | Spring Break |
| Mar 27 | Ally Introne | Inferring Intercellular Interaction Rules for HER2+ Breast Cancer Cell Motility Using Equation Learning [abstract] |
| Apr 3 | Alex Johnson | We will discuss this paper. |
| Apr 10 | Adira Cohen | |
| Apr 17 | TBD | |
| Apr 24 | Alex Johnson |
2025 Distinguished Seminar Series
UQ4Life is excited to announce the 2025 Distinguished Seminar Series. The theme of the series this year is surrogate modeling, which is a suite of statistical models to approximate a mathematical model and has broad application including engineering, climate and health. This year’s line up is
Robert Gramacy, Department of Statistics, Virginia Tech, January 31,
Yawen Guan, Department of Statistics, Colorado State University, February 7
Daniela Calvetti, Department of Mathematics, Case Western University, February 25th
Dirk Husmeier, Department of Statistics, University of Glasgow, March 17th
The seminar will be hosted jointly between the Departments of Statistics and Mathematics.
