Dear Colleagues,
We are pleased to share the launch of a new online seminar series, Spatio-Temporal Statistics and Data Science (STSDS). The series will bring together researchers working at the intersection of spatio-temporal methods and data science, and it is open to all who are interested in these topics.
The first several talks in the series are listed below:
| Date |
Time (ET/CT) |
Title |
Speaker & Affiliation |
| Sept 26, 2025 |
11:00 AM – 12:00 PM ET Virtual (Webex) |
Multi- and Mixed-Precision Computations for Spatial and Spatio-Temporal Statistics Registration link |
Mary Lai O. Salvaña, Assistant Professor, University of Connecticut |
| Oct 24, 2025 |
11:00 AM – 12:00 PM CT Virtual (Webex) |
Scalable Learning for Censored Gaussian Processes based on Conditional Independence Approximations |
Jian Cao, Assistant Professor, University of Houston |
| Nov 21, 2025 |
TBA/Virtual (Webex) |
Fast amortised inference for spatial extremes using neural Bayes estimators |
Jordan Richards, Lecturer, University of Edinburgh |
| Jan 30, 2026 |
TBA/Virtual (Webex) |
Online Stochastic Generators Using Slepian Bases for Regional Bivariate Wind Speed Ensembles from ERA5 |
Yan Song, Incoming Assistant Professor, University of British Columbia |
| Feb 27, 2026 |
TBA/Virtual (Webex) |
Causal Spatial Quantile Regression |
Yan Gong, Incoming Lecturer, University of New South Wales
|
Further details, including registration information and opportunities to suggest future speakers, are available at www.stsds.org.
We hope this series will serve as a useful venue for exchange and discussion within the community, and we warmly welcome your participation.
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Mary Lai Salvaña
Assistant Professor
University of Connecticut
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