Gernot Müller

Prof. Dr. Gernot Müller is a Full Professor of Computational Statistics and Data Analysis at the University of Augsburg since 2013. Previously, he held academic positions at the University of Oldenburg (2013), TU Munich (2006-2013), and Australian National University (2002-2006). His research spans Artificial Intelligence, Bayesian Statistics, Computational Econometrics, and Medical Statistics, with particular focus on energy economics and biostatistical applications.

• PhD: Technische Universität München (2004)
• Habilitation: Technische Universität München (2010)
• Bachelor's: Julius-Maximilians-Universität Würzburg (2000)

His research interests include:

• Bayesian hierarchical modeling for energy markets
• Stochastic volatility models in financial time series
• Machine learning applications in medical imaging
• Epidemiological analysis of pandemic impacts
• Statistical modeling of renewable energy integration
• Deep learning for cancer prognosis

Recent publications (2024-2025) address:

• Electricity price forecasting with renewable energy integration
• Cryptocurrency market dynamics via stable processes
• Medical imaging analysis for wound healing
• Lymphocyte subset modeling in cancer patients
• Neurosurgical outcome assessment tools
• Stochastic models for photovoltaic power generation

Scientific memberships include:

• Sigma Xi - The Scientific Research Honor Society (2022)
• International Statistical Institute (ISI)
• Bernoulli Society
• German University Association (DHV)

He also contributes to public science communication through lectures on data science, climate change, and forensic statistics. His technical expertise covers generalized linear models, machine learning methods, and stochastic energy market modeling.