Wolfgang Bock

Wolfgang Bock is an Associate Professor (Docent) in Stochastic Analysis at Linnaeus University, where he joined as a Senior Lecturer in August 2023 and was promoted to Associate Professor in December 2023. He serves as Program Director for the Master's Program in Mathematics and is a member of the Faculty Board. His academic career spans institutions in Germany, Portugal, and Sweden, with a strong focus on stochastic processes and their applications.

His educational background includes:

• PhD in Stochastic Analysis (2013) from Technische Universität Kaiserslautern, Germany, supervised by Martin Grothaus
• Postdoctoral fellowship (2013-2014) at the Center of Mathematical Analysis and its Applications (CMAF) in Lisbon, Portugal
• Lecturer position (2014 onwards) at Technische Universität Kaiserslautern
• Permanent senior lecturer (Akademischer Rat) from 2015, responsible for Engineering Mathematics

Bock's research centers on Stochastic Analysis, with particular expertise in White Noise Analysis, Non-Gaussian Analysis, and Mittag-Leffler Analysis. His work bridges theoretical mathematics with practical applications in epidemiology, especially in disease modeling for dengue and SARS-CoV-2. He has developed novel approaches to random time variation, non-linear Markov processes, and McKean-SDEs, contributing significantly to the understanding of complex stochastic systems.

His recent publications demonstrate a consistent focus on extending classical Gaussian analysis to non-Gaussian settings, with increasing applications to real-world problems in epidemiology and physics. The research shows progression from theoretical foundations to practical applications, particularly in disease transmission modeling.

Bock leads the Stochastic Analysis and Stochastic Processes research group and is also involved with the Computational Mathematics for Predictive Digital Twins (PreDiTwin) initiative. His research has attracted international collaborations across Europe, reflecting his commitment to enhancing Linnaeus University's international visibility in stochastic analysis.