I want to understand how AI actually works and then do something useful with that understanding.
Not just read about it. Not just use the tools. Actually get into the mechanics: how models learn, where they fail, when they help and when they don’t. And from there: how can we apply them to problems that matter? What does it take to build something that works and works responsibly?
Writing helps me do that. It makes me look more closely, ask better questions, and connect things that don’t obviously belong together. Piece by piece, I’m deciphering the puzzle. This blog is where that happens out loud, in public, without pretending I have all the answers.
AI in education — from both sides of the lectern. As someone who works at a university, I’m thinking about how AI changes teaching: what it enables, what it threatens, and how to use it without losing the point of learning. As a student myself, I’m living that question every day.
AI for real-world problems — right now I’m particularly drawn to the idea of building an AI-based early warning system for climate change impacts. How would you even approach something like that? What data, what models, what limitations? I don’t know yet. That’s the point.
My M.Sc. in AI — I recently started studying Artificial Intelligence part-time at a distance-learning university. What I learn there feeds directly into this blog: the concepts, the challenges, the moments where something finally clicks.
The risks and ethical questions are part of all of this — not as a separate topic, but because you can’t understand AI properly without understanding where it can go wrong.
What happens when you combine curiosity, tech stuff, and a certain weakness for domains.
Professionally, I’ve been working as an academic staff member at a university since mid-2024, an exciting career change after many years in the private sector. With the move to research, I’m pursuing a clear goal: to find answers to the many questions I have about current developments in AI.
Because if many of us are already using these systems today, but very few understand what’s really behind them, who will be able to deal with the challenges of these technologies tomorrow?
This blog is not an official university project. It’s my personal space: a digital think tank, a playground for thoughts, and a place where I can solve technical puzzles. At my own pace, with lots of fun and without external pressure.
A small collection of projects that have meant a lot to me because they were really fun, because I grew from them, or because they won awards.
And this is just the beginning: soon you’ll also find my first data science / AI experiments here.
Symphony of Luminous Motion
A Glimpse into the Future of Classical Concerts What if a classical concert didn’t just fill a room with sound, but also with light,…
The title is more than just a play on words.
Code refers to my work with Python, Data Science, and Machine Learning. It also signifies a Code of Conduct, the ethical standards by which we create and apply technology.
Value denotes the values we assign within our code, and equally the core values we uphold: transparency, accountability, curiosity.
Code & Value embodies a belief: technology and ethics must go hand in hand.