Karlsruhe Institute of Technology

Yes, definitely.

Um, there still is, even when I started working on protein structuring in 2013, back then when I was still working on my PhD at the Karlsruhe Institute of Technology, I think the industry was primarily s- focused on still identifying alternative protein sources, creating, um, structure through processing technology such as extrusion.

And since then, I think we have made tremendous process, progress there, but, uh, which means we still have a very- we now have a very broad protein toolbox, better development technologies and more advanced capabilities.

However, when you develop a product, you still have to keep in mind that consumers that buy a product in a supermarket, they don't evaluate proteins, they evaluate the eating experience.

How about your

background? I'm a PhD student still at the moment at KIT, Karlsruhe Institute for Technology.

But this piece of work has already started before that during my time at the German Sport University studying technology.

So it's a bit of a different topic to my PhD topic where I revisit the role of anaerobic markers and the role they play for endurance performance.

I'm not on other socials than that, but also email.

So just probably Google my name.

You'll find the affiliation with Karlsruhe Institute for Technology.

You'll find my email there.

In this episode, our careers consultant Sophie Hodgers-Rowe interviews SAP Chief Data Scientist Daniel Dahlmeier about his role managing SAP's Business AI team in Singapore.

He recounts his path from studying Computer Science in Karlsruhe Institute of Technology in Germany to a PhD in Natural Language Processing at the National University of Singapore.

Joining SAP Research, and pivoting with the deep learning wave towards enterprise AI use cases.

Dan Meyer gives practical tips on how to use generative AI and then he also shares some tips for students wanting to pursue this career such as staying hands-on and the importance of learning fundamentals like mathematics and machine learning.

This is where research and innovation around new production pathways comes in.

Our first guest is Maren Korte, co-founder of Photreon, a startup project at the Karlsruhe Institute of Technology.

Maren's team have developed photoreactor panels that produce hydrogen from water and sunlight without using electrolyzers, electricity, or grid connection.

Maren, how do your photoreactor panels work?

Data centers can consume as much electricity as entire neighborhoods, with cooling accounting for up to 40% of a facility's power use.

Researchers at Germany's Karlsruhe Institute of Technology and Japan's University of Tsukuba have developed a cooling device powered by heat instead of electricity.

The prototype uses two nickel titanium strips that change shape under tension and transfer heat between components.

Heat causes the first strip to contract, stretching the second strip and making it warm.

After completing his diploma at Humboldt University Berlin, he began researching the Earth's climate and that of other hypothetical planets, primarily through the use of models, supercomputing and theory.

He has worked at the Max Planck Institute for Meteorology in Hamburg, the Laboratoire de Météorologie Dynamique in Paris, Columbia University in New York City, and the Karlsruhe Institute of Technology.

Most recently, he was a professor of climate science at the University of Vienna.

In September 2026, he took up a professorship in atmospheric dynamics at the University of Bonn.