Data Science Webinar Series Archives

October 12, 2020
Presenter: Aneesh Subramanian, University of Colorado
Talk: Exploring physical and Machine Learning approaches for stochastic modeling and ensemble prediction of weather and climate

September 28, 2020
Presenter: Veronica Berrocal, University of California, Irvine
Talk: Identifying regions of spatial correlation inhomogeneities in spatial processes via a Mixture Multi-Resolution Approximation

August 31, 2020
Presenter: Ryan Sriver, University of Illinois
Talk: Influence of uncertainties on the tails of climate projections

August 17, 2020
Presenter: Matthias Katzfuss, Texas A&M University
Talk: Scalable Covariance Approximations for Environmental and Climate Data

August 3, 2020
Presenter: Jonathan Weyn, University of Washington
Talk: S2S forecasting using large ensembles of data-driven global weather prediction models

July 20, 2020
Presenter: Claire Monteleoni, University of Colorado, Boulder
Talk: Deep Unsupervised Learning for Climate Informatics

June 22, 2020
Presenter: Pulong Ma, Duke University
Talk: Efficient Surrogate Modeling for UQ in Assessment of Remote Sensing Retrievals and Storm Surges

June 8, 2020
Presenter: Bin Yu, University of California, Berkeley
Talk: Veridical data science: the practice of responsible data analysis and decision making