معرفی
Marco Oesting is a Tenure-Track Professor at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute of Stochastics and Applications, University of Stuttgart. He holds a PhD in Mathematics from the University of Göttingen (2012) and a Habilitation from the University of Siegen (2020). His research focuses on extreme value theory, spatial statistics, and stochastic processes, particularly in the context of environmental and climate data analysis. He leads the Computational Statistics Group and has contributed to the development of simulation algorithms for max-stable processes and statistical methods for analyzing extreme events.
Education:
- PhD in Mathematics, University of Göttingen (2012)
- Habilitation in Mathematics, University of Siegen (2020)
- Diploma in Mathematics, University of Göttingen (2009)
Research interests include:
- Modeling and simulation of extreme events
- Max-stable processes and their applications
- Statistical inference for spatial and temporal extremes
His recent work emphasizes scalable methods for high-dimensional extremes and computational statistics. He has published extensively in top-tier journals like Annals of Statistics, Biometrika, and Extremes.
Awards and recognition include contributions to the R package RandomFields, and his active role in organizing the 'One World Extremes Seminar' (2020–2023).
Teaching responsibilities include courses on stochastic simulation, extreme value theory, and mathematical statistics at both undergraduate and graduate levels.
