Dynamai

Dynamai is a fundamental machine learning (funML) research lab grounded in applied mathematics and statistics. We pursue research to understand and advance ML systems, closing the gap between mathematical rigor and real-world impact through approaches that are both theoretically principled and effective at scale. Our main areas of interest include the foundations of generative modeling, sequence modeling, robustness and reliability in ML, and ML for science. We work closely with research groups and institutions around the world, partnering with leading researchers to accelerate discovery and impact.

News

📣 Ongoing: Our lab is expanding! Join our lab and help push the frontiers of the next generation of ML. Several openings for master/PhD students and postdocs (send me your CV).
📣 October 2025: One workshop paper accepted at EurIPS 2025.
📣 July 2025: One paper accepted at TMLR.
📣 Jan 2025: One paper accepted (spotlight) at ICLR 2025.
📣 Jan 2025: One paper accepted at AISTATS 2025.
📣 Jan 2025: Dynamai was launched!

Team

Under construction!

Funding & Support

We acknowledge the computational resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS), partially funded by the Swedish Research Council through grant agreement no. 2022-06725. We are very grateful for the funding awarded by the Swedish Research Council (VR/2021-03648) and the Wallenberg Foundations (WINQ).

Contact

If you are interested in collaborating with and/or supporting our research, please get in touch at shlim AT kth DOT se.