Summary
Ivo Trowitzsch is a machine learning engineer with 12 years of experience blending academic rigor and production software engineering, holding a magna cum laude PhD in computational auditory scene analysis. He has built robust machine listening models and end-to-end training frameworks during a long research tenure at Technische Universität Berlin and now applies that expertise to clinical prediction problems at Tiplu. Comfortable across signal processing, embedded systems, and modern ML architectures (from logistic regression to LSTM/TCN), he bridges theory and deployable systems. He also has hands-on embedded and avionics software experience from industry collaborations, and a track record teaching and supervising large student cohorts—skills that sharpen his communication and reproducibility focus. Notably, after defending his PhD he spent a year as a full-time parent, which he cites as part of his practical life-engineering perspective.
12 years of coding experience
5 years of employment as a software developer
Abitur, 1,6, Abitur, 1,6 at Robert-Blum Gymnasium
Machine Learning Summer School 2014 Reykjavik
Doktor der Ingenieurwissenschaften (PhD equivalent), Computer Science (Machine Learning, Computational Auditory Scene Analysis), magna cum laude, Doktor der Ingenieurwissenschaften (PhD equivalent), Computer Science (Machine Learning, Computational Auditory Scene Analysis), magna cum laude at Technische Universität Berlin
German, English, French