Generative Modeling Summer School

Are you a (Phd) student working broadly with data science, and for whom generative modeling might play a role in your (PhD) project? Then don't miss your chance to participate in this year's Generative Modeling Summer School, taking place June 26-June 30 in Copenhagen, Denmark! The Summer School offers a unique four-day program, in which participants will be taught by internationally renowned faculty as well as invited lecturers, who will give tutorials. Which, by the way, is a nice detail to remember: in 2024 the Summer School might take place in Eindhoven!

One of the three main lecturers is Dr. Jakub Tomczak, Associate Professor at the Department of Mathematics and Computer Science and a PI leading the Generative Artificial Intelligence team. He organizes the Summer School in close cooperation with Pierre-Alexandre Mattei (Inria Sophia Antipolis) and Jes Frellsen (Technical University of Denmark). 

In particular, the program is designed to accommodate both students doing methodological data science research (e.g., machine learning, statistics and AI) and students doing applied data science research (e.g., bioinformatics, computational physics, computational chemistry and computational social science). Furthermore, the course will also be open to postdocs and more senior researchers who want to work with deep generative models, as well as people from the industry as continual training in data science. 

The event's organizers aim for selecting a group of about 100 participants. The selection process will be based on the submitted material and will be executed by the organization. Background (e.g., expertise, affiliation) and experience will be considered. The following are expected of participants: a good familiarity with Python and PyTorch, and a basic knowledge of calculus, linear algebra, probability and statistics.

Are you curious about this unique four-day course? Then please click here to learn more about the program, location, cost and how to apply for further selection.