Then, listen to the new episode of “Data Science Talks”. Juan, Master’s Student in our team, has interviewed Mahsa, postdoctoral researcher at UHH from Iran. Mahsa talk about why Germany is a good place for data-science research, how to survive German bureaucracy, how to manage your research life when you have a family, and what mathematics can contribute to our understanding of AI. Find the podcast here.

We are also hiring a student assistant for the podcast—let us know if you are interested.

I am proud to work with so many talented young researchers here in Hamburg. Keep it up! (And thanks to our wonderful photographer Heiko Fuchs! 📷)

This week, Mike has successfully defended his PhD. Mike’s presentation was inspiring—just as his research leading to this PhD. Mike contributed to a variety of topics, ranging from high-dimensional statistics to generative models. However, Mike’s presentation showed that all these topics still fit a general notion of bias. You can find Mike’s papers in the publications tab on our homepage.

We were really fortunate to have Mike on our team for four years. It was also a great pleasure to co-advise Mike with Asja Fischer. Asja is an amazing researcher and mentor. I am sure we will have many more collaborations to come!

Ali, Pegah, and Milena just returned from the World Congress in Probability and Statistics, where they showcased our work on mathematical machine learning and AI. They also brought a lot of inspiration and motivation back home to Hamburg.

Welcome back! We are proud that you are such great ambassadors for our team.

Today, Johannes was interviewed for the German radio station NDR 2 about the probabilities to win their sweepstakes. It’s all mathematics! If you are interested in studying this field, consider joining UHH.

This semester, we are offering a course on high-dimensional statistics and a seminar on statistical learning. The course might be of interest to students in mathematics and well beyond (CS, physics, biology …)—feel free to check out the details on STiNE.

We have four short lectures at the 16th German Probability and Statistics Days: The DeepCAR method: forecasting time-series data that have change points (presenter: Ayla), Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming (Somnath), Reducing computational and statistical complexity in machine learning through cardinality sparsity (Ali), and Extremes in high dimensions: statistical theories and scalable algorithms (M. Oesting, Stuttgart). Johannes co-organizes the sessions on Computational and high-dimensional statistics (with D. Rudolf, Passau). Looking forward to the conference!