About Jordan Richards Jordan Richards Postdoctoral Research Fellow, Statistics Statistics of extremes Environmental Statistics spatial statistics Statistical Modeling computational statistics Dr. Jordan Richards was a postdoctoral fellow in the Extreme Statistics Research Group of Prof. Raphaël Huser from October 2021 to January 2024, developing machine learning approaches for spatial extremes with environmental applications. After his postdoc at KAUST, Jordan moved to the University of Edinburgh, UK, where he embraced an academic career by becoming a Lecturer (equivalent to Assistant Professor) in Statistics. See his personal website here. Education and early career Jordan Richards received his Ph.D. from Lancaster University under the supervision of Jonathan A. Tawn, Jennifer L Articles Related News January 2024 New paper accepted in Spatial Statistics 1 min read · Mon, Jan 8 2024 Spotlight News Cisneros, D., Richards, J., Dahal, A., Lombardo, L., and Huser, R. (2024+), Deep graphical regression models for jointly moderate and extreme Australian wildfires, Spatial Statistics, to appear [ PDF preprint] September 2023 Top honors for KAUST extSTAT group at EVA 2023 2 min read · Wed, Sep 13 2023 Awards News KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan. New paper accepted in Artificial Intelligence for the Earth Systems (AIES) 1 min read · Sun, Sep 10 2023 Spotlight News New paper accepted: Richards, J., Huser, R., Bevacqua, E., and Zscheischler, J. (2023+), Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning, Artificial Intelligence for the Earth Systems, to appear [ PDF preprint]. July 2023 Congratulations to Paolo and Yalla team for their success at the EVA2023 conference 1 min read · Thu, Jul 6 2023 News Spotlight We are thrilled to extend our warmest congratulations to Paolo Victor Redondo and Team Yalla for their outstanding achievements at the EVA 3023 conference! The event, which aims to bring together researchers in Extreme Value Theory (EVT), methods, and its applications, witnessed Paolo's remarkable win for the Best Poster Presentation and Team Yalla's triumphant victory in the EVA Data Competition. Paolo's Best Poster Presentation award demonstrates his commitment, hard work, and enthusiasm for EVT and biostatistics. His remarkable presenting abilities and groundbreaking work on brain
New paper accepted in Spatial Statistics 1 min read · Mon, Jan 8 2024 Spotlight News Cisneros, D., Richards, J., Dahal, A., Lombardo, L., and Huser, R. (2024+), Deep graphical regression models for jointly moderate and extreme Australian wildfires, Spatial Statistics, to appear [ PDF preprint]
Top honors for KAUST extSTAT group at EVA 2023 2 min read · Wed, Sep 13 2023 Awards News KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan.
New paper accepted in Artificial Intelligence for the Earth Systems (AIES) 1 min read · Sun, Sep 10 2023 Spotlight News New paper accepted: Richards, J., Huser, R., Bevacqua, E., and Zscheischler, J. (2023+), Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning, Artificial Intelligence for the Earth Systems, to appear [ PDF preprint].
Congratulations to Paolo and Yalla team for their success at the EVA2023 conference 1 min read · Thu, Jul 6 2023 News Spotlight We are thrilled to extend our warmest congratulations to Paolo Victor Redondo and Team Yalla for their outstanding achievements at the EVA 3023 conference! The event, which aims to bring together researchers in Extreme Value Theory (EVT), methods, and its applications, witnessed Paolo's remarkable win for the Best Poster Presentation and Team Yalla's triumphant victory in the EVA Data Competition. Paolo's Best Poster Presentation award demonstrates his commitment, hard work, and enthusiasm for EVT and biostatistics. His remarkable presenting abilities and groundbreaking work on brain
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