My goal is to build machine learning tools and statistical methods for decompiling intelligent behavior. In my research group at Helmholtz Munich, we develop machine learning algorithms for representation learning and inference of nonlinear system dynamics, study how large and multi-modal biological datasets can be compressed into foundation models, and study their mechanistic interpretability.

If you are looking for opportunities for a position as a PhD student, postdoc, research engineer, research assistant, or an internship, Bachelor or Master’s thesis, please have a look at our current openings and ping me if you’re interested in working with us.

For science outreach, I co-founded KI macht Schule, a non-profit organization teaching ML basics to high-school students. We provide teachers with modern teaching materials, AI tools and infrastructure in our open teaching hub, and offer courses on AI for students and teachers in Germany, Switzerland and Austria.

I am also co-founder and CTO of Kinematik AI, a company offering customized machine intelligence solutions in the biopharma and animal healthcare sector.

Here are some pointers to my work:

• 🧑‍🎓 Interested in my research? Have a look at stes.io or my google scholar profile.
• 🦓 Check out cebra, our new representation learning algorithm to obtain embeddings of jointly recorded behavioral & neural data.
• ☕ Check out robusta, our library for robustness & adaptation.
• 🎒 Check out how we teach ML & AI to highschool students at KI macht Schule.
• 💼 Get in touch if you are interested in what we are building at Kinematik AI.
• 🐦 Follow me on X: @stes_io
• 🐘 ... and mastodon: @[email protected]