Summary
Harald Hentschke is a data scientist in Berlin with eight years of industry experience and a deep neuroscience research background spanning two decades. He transitioned from senior academic roles in neurophysiology and electrophysiology to applied data science, now focusing on predictive maintenance, time-series signal detection, and semantic segmentation for environmental and remote sensing applications. At PeakProfiling and as a freelancer he translates rigorous experimental analysis into production-ready models, applying strengths in multichannel time–frequency analysis and classical signal detection. His teaching and mentoring history in Matlab and deep-learning projects reflects a talent for communicating complex methods to diverse teams. Harald combines domain knowledge in biomedical/neuroscience data with practical ML engineering, making him especially effective on projects that bridge life-science rigor and operational deployment. A detail that sets him apart is his long track record of leading reproducible, publication-grade analyses in clinical neuroscience before moving into commercial ML.
8 years of coding experience
22 years of employment as a software developer
Diploma, Zoology/Animal Physiology, Diploma, Zoology/Animal Physiology at University of Tübingen
Vordiplom (Bachelor), Biology, General, Vordiplom (Bachelor), Biology, General at University of Bayreuth
Electrophysiology, time series analysis, Electrophysiology, time series analysis at McGill University