Rigorous thinking. Practical delivery.

I help organisations use data with more clarity, speed and independence.

My work spans AI strategy, data engineering, predictive analytics, model governance and production delivery. I have led automotive AI programmes, built multi-terabyte Spark platforms, developed personalised healthcare products and translated research into working systems. That breadth lets me follow a problem from the boardroom question to the production pipeline—and keep the intent intact along the way.

I also invest in the capability around the technology: mentoring data scientists in clean code, test-driven development, CI/CD and reproducible workflows. Dr. Franke Datenwissenschaften is deliberately lean, giving clients direct access to senior thinking and hands-on implementation.

Having lived for extended periods in four countries, I have also had the opportunity to learn from different cultures and ways of working—and to build a global network of colleagues and collaborators. That experience has taught me to listen carefully, adapt to the local context and collaborate thoughtfully across borders.

Doctorate: I hold a doctorate (Dr.) in computer science from Technische Universität Dresden, supervised by Prof. Dr. Gerhard Weber. My thesis, “Wissensbasierte Tagesrhythmenerfassung und -auswertung in ubiquitären Umgebungen” (submitted 2015, defended on 6 April 2016, published 2016), deals with the knowledge-based recognition and analysis of daily routines from heterogeneous sensor data. It combines machine learning with semantic modelling through ontologies, in the context of Ambient Assisted Living.