Summary
David Haslacher is a data scientist in Berlin with 10 years' experience building end-to-end AI and analytics solutions at the intersection of generative AI, clinical neurotechnology, and public-sector data. He combines deep academic expertise—a summa cum laude PhD in Neurotechnology and 19 peer-reviewed papers—with hands-on delivery, leading interdisciplinary teams and shipping scalable pipelines, SDMX-based data dissemination, and MCP-driven generative workflows. At HMS Analytical Software he drives seven-figure opportunity pipelines through technical presales and solution design, while at Charité he translated research into validated closed-loop neuromodulation methods and an open-source multivariate biosignal toolbox. Equally comfortable with fundraising and product strategy, he has secured >€750K as PI/co-PI and shaped go-to-market and regulatory approaches for digital neuromodulation. Known for turning complex multimodal biosignal problems into automated, deployable analytics, he brings both rigorous research judgement and practical engineering to high-impact AI projects.
10 years of coding experience
9 years of employment as a software developer
Ludwig Maximilian University of Munich
Master of Science (M.Sc.), Neural Information Processing, 1.6 (good), Master of Science (M.Sc.), Neural Information Processing, 1.6 (good) at University of Tübingen
Doctor of Philosophy (Ph.D.), Neurotechnology, summa cum laude (with highest distinction), Doctor of Philosophy (Ph.D.), Neurotechnology, summa cum laude (with highest distinction) at Charité - Universitätsmedizin Berlin
Master of Science (M.Sc.), Artificial Intelligence, 4.0 (very good), Master of Science (M.Sc.), Artificial Intelligence, 4.0 (very good) at Universiteit Utrecht
German, English, French