Joscha Lasse Bisping

Master of Science

Technische Universität Berlin

Computer Science; Cognitive Systems; Data and Software Engineering

Grade: 1.3 (German scale)

Focus on Machine Learning, Security, and Cognitive Systems.

• Thesis: Ransomware Detection using Graph Neural Networks Enhanced by Large Language Models, completed in 2026.Built a self-made Android malware dataset designed so that training and test data share as little code as possible, and used it to benchmark LLM judging, LLM summarisation, and code embedding models as sources of node features for GNN classification.
• Coursework includes privacy-preserving video segmentation, geospatial analysis with ESA Sentinel-2 satellite imagery, agentic workflows with LangChain for automated vulnerability scanning, a Kubernetes-to-serverless refactoring on Google Cloud with Terraform, and Robot Learning with ROS.

Master of Science – Enhance European Education Pathways

Norwegian University of Science and Technology (NTNU)

Computer Science

• Exchange semester in Trondheim, Norway.
• Studied in a highly international environment, strengthening cross-cultural collaboration and broadening academic perspective.

Bachelor of Science

Technische Universität Berlin

Industrial Engineering – Information and Communication Systems

Grade: 1.9 (German scale)

• Thesis on forecasting EEG signals using time-series transformers, trained on the university's high-performance computing cluster.

General University Entrance Qualification

Rudolf-Steiner-Schule Hamburg-Harburg

Grade: 1.2 (German scale)