Dr. Daniel Friemert
Physicist · Consultant for software, architecture and AI
Daniel is a physicist and software developer. His focus is software: architecture, software quality and solutions that teams can carry forward for years. He researches how software development changes with AI: which ways of working, tests and architectures hold up when AI co-writes code.
He also researches biomechanics and develops measurement systems for human movement. He leads training and has supervised more than 150 projects and theses on technical and scientific topics.
Talk to DanielFocus areas
- Software architecture
- Software quality and code review
- AI in software development
- Machine learning and modelling
- Biomechanics
Consulting
- AI consulting for organisations
- Software architecture and custom software
- Code review and software testing
- Machine learning and modelling consulting
- Project management and technical leadership
- Accessibility and privacy engineering
- Statistical consulting and study design
- Academic writing coaching
- Technical consulting for startups
- Technical book writing support
Training
- What is an LLM, what is ChatGPT?
- AI in everyday life
- Setting up your own AI assistants
- How software is made
- Python basics
- Analysing data with Python
- AI at work
- AI assistant with your own company knowledge (RAG)
- Programming with AI in a team
- Python for engineers
- Statistics and data analysis with Python
- Machine learning in practice
- Clean code and software quality in Python
- Software architecture and modernising legacy systems
- Data visualisation and reports with Python
Publications
- Perspectives on biomechanical data: a cross-disciplinary survey of current practices, challenges, and future needs
- COVAS: Highlighting the Importance of Outliers in Classification Through Explainable AI
- Applying dynamical component analysis to marker-based gait data: a methodological guide
- Chatbots in education: Outperforming students but perceived as less trustworthy
- Limitations of Public Biomechanical Movement Datasets for Deep Learning: Issues of Metadata, Standardization, and Variety in Motion Types
- The Impact of Smart Glasses on Commissioning Efficiency Depends on the Display Device Used
- Head-Mounted and Hand-Held Displays Diminish the Effectiveness of Fall-Resisting Skills
- An Evaluation of Motion Trackers with Virtual Reality Sensor Technology in Comparison to a Marker-Based Motion Capture System Based on Joint Angles for Ergonomic Risk Assessment
Elsewhere
Together with Michael Schneider, Business economist · Consultant for processes and Lean Six Sigma.