Summary
Tim Brockmeyer is a research scientist in artificial intelligence with nine years of experience combining cognitive science and machine learning to tackle real-world problems in aerospace and meteorology. Based in Munich, he develops deep learning, computer vision, and self-supervised anomaly detection methods—most recently at Airbus Central Research & Technologies for next-generation aerospace applications. His master’s work applied graph neural networks and latent graph inference to multivariate time-series anomaly detection, reflecting a strong interest in structured representations and unsupervised learning. Tim’s background in cognitive science and a stint in statistics and data science during an exchange in Sweden give him a cross-disciplinary perspective that blends human-centered hypotheses with rigorous quantitative modeling. He also brings practical teaching and coaching experience, suggesting strong communication and mentorship skills alongside his research capabilities.
8 years of coding experience
Master of Science (M.Sc.), Cognitive Science, Master of Science (M.Sc.), Cognitive Science at Universität Osnabrück
Exchange student, Statistics and Data Science, Exchange student, Statistics and Data Science at Linköping University