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stochastic partial differential equations

Building bridges between mathematical statistics and real-world impact

4 min read · Tue, Jan 6 2026

Spotlight News Research in Focus

mathematical statistics random fields stochastic partial differential equations computational statistics

A research journey that connects statistical theory with the complexity of real-world systems.
Simon Nik

Simon Nik

Instructional Assistant Professor, Statistics

Statistics of extremes extreme-value theory stochastic partial differential equations discrete time series

Simon's current research focuses primarily on extreme-value theory and stochastic partial differential equations.

Elsiddig Awadelkarim Elsiddig

Postdoctoral Research Fellow, Statistics

MCMC Particle Methods Stochastic Control machine learning stochastic partial differential equations

David Bolin

Professor, Statistics

mathematical statistics random fields stochastic partial differential equations computational statistics stochastic processes

David Bolin is an expert on stochastic processes, random fields and spatial statistics. His main research focus is on stochastic partial differential equations and their applications in statistics.

Sensors (Sensors)

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