About

Nov. 2023-Present: Computer Vision and ML Researcher at Jülich Supercomputing Centre. I work on generative diffusion and flow-matching models, with early access to JUPITER, Europe’s first exascale supercomputer.

New

Exploring and Exploiting Stability in Latent Flow Matching
Rania Briq, Michael Kamp, Ohad Fried, Sarel Cohen, Stefan Kesselheim
Accepted at the International Conference on Machine Learning (ICML), 2026.
publications

Research interests

Generative models · Diffusion and flow matching · Human-centric generative modeling · Motion synthesis · Representation learning

Studies

PhD candidate in computer science, Technical University Dortmund, formerly University of Bonn. Expected: September 2026.

MSc in computer science, University of Bonn.

BSc in computer and software engineering, Technion.

Research internships

Applied scientist intern at Amazon Go, August 2021-August 2022. My work focused on synthesizing conditional human motion data.

Research intern at Facebook Reality Labs, August 2019-Jan. 2020. I worked on differentiable rendering and optical flow for human body tracking.

Teaching and supervision

Alongside my doctoral studies, my responsibilities included teaching and supervising Master’s students, including Adversarial Synthesis of Human Pose from Text, which won the Best Master’s Thesis Award at the DAGM Young Researchers’ Forum 2020.