Summary
Thomas Natschläger is a principal data scientist with 13 years of industry experience and a PhD-focused background in theoretical computer science, machine learning, and computational neuroscience from TU Graz. He blends research rigor with product-facing engineering, leading data science teams at Dynatrace while also building ML-driven local weather forecasts at BlueskyWetter and teaching predictive analytics for IoT. His career spans scientific leadership at SCC Hagenberg and postdoctoral research, giving him deep expertise in mathematical modeling, neural networks, and the Python/C++ ecosystems. Thomas is comfortable moving models from theory to production in domains as diverse as IT, manufacturing, and renewable energy, and he often applies computational neuroscience insights to practical ML problems. Based in Linz, Austria, he pairs academic credibility with hands-on system-building, mentoring teams and shaping industrial data mining practices.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Telematics with focus on Theoretical Computer Science, Machine Learning & Computational Neuroscience, Doctor of Philosophy - PhD, Telematics with focus on Theoretical Computer Science, Machine Learning & Computational Neuroscience at Technische Universität Graz / TU Graz
Electrical, Electronics and Communications Engineering, Electrical, Electronics and Communications Engineering at HTL Steyr