Markus Böck

Markus Böck is a PreDoc Researcher at the Software Engineering department of Technische Universität Wien (TU Wien), Austria. His academic work focuses on the intersection of software engineering and machine learning, particularly in performance prediction and probabilistic program analysis. He contributes to automated code analysis and intelligent software systems research.

• Role: PreDoc Researcher
• Department: Software Engineering, TU Wien
• Contact: markus.h.boeck@tuwien.ac.at

His research explores:

• Language-agnostic static analysis of probabilistic programs
• Context-dependent performance prediction from source code
• Interactive machine learning systems for software engineering
• Distributional reinforcement learning applications
• Code-based performance modeling
• Program analysis for probabilistic systems

Key publication trends include:

• Advancing probabilistic program analysis (2024-2025)
• Performance prediction techniques (2022-2023)
• Reinforcement learning innovations (2020-2022)
• Application of machine learning to software engineering challenges
• Game theory algorithm optimization (2025)