| Date | Topic | Speaker |
|---|---|---|
| Thur 1.11 (2:30, JWB 335) | Statistical and Algorithmic Robustness in Data Assimilation, Inverse Problems, and Machine Learning. | Daniel Sanz-Alonso |
| Thur 1.18 | Using Persistent Homology to Improve Graph Visualization Tools | Paul Rosen |
| Thur 1.25 | Review of SODA conference | Micheal, WaiMing, and Pingfan |
| Thur 2.01 | A User's Guide to Discrete Stratified Morse Theory | Bei Wang |
| Thur 2.08 | Innovating at the Intersection of Neuroscience and Computational Science | Neda Nategh |
| Thur 2.15 | Algorithms for Predictive Policing | Suresh Venkatasubramanian |
| Thur 2.22 | The Utah Population Database | Ken Smith |
| Thur 3.01 | ||
| Fri 3.02 (2pm in WEB 3780) | Cataloging the Visible Universe through Approximate Bayesian Inference | Jeff Regier |
| Thur 3.08 (WEB 3780) | Faculty Candidate Talk | |
| Thur 3.15 | The promise of personalized health care: Why we need more data scientists | Heidi Hanson |
| Thur 3.22 | SPRING BREAK | |
| Thur 3.29 (WEB 3780) | Faculty Candidate Talk | |
| Thur 4.05 | BS Theses : Analyzing Simultaneous Iteration + Data-driven Secret Santa | Benwei Shi + Giorgi Kvernadz |
| Thur 4.12 | Fairness Learning in Semi-Supervised Setting | Jie Zhang |
| Thur 4.19 (2:15, MEB 3515) | PhD Proposal | Wai Ming Tai |