Currently

• Research Intern at Google DeepMind in Zürich, since September 2024. Working on video segmentation, being supervised by Stefano Pellegrini, Jasper Uijlings, and Cordelia Schmid.

Educational background

• PhD student at the Max Planck Institute for Intelligent Systems and the University of Tübingen, part of the IMPRS-IS doctoral program. Supervisors: Prof. Zeynep Akata and Prof. Andreas Geiger. I focused on multi-modal and zero/few-shot learning and efficient adaptation of large-scale models. Thesis under review.
• Guest PhD Student at Helmholtz Munich and the Technical University of Munich. Supervisor: Prof. Zeynep Akata.
• MSc in AI at the University of Edinburgh. MSc thesis: “What neural networks can not learn?”. Supervisor: Prof. Amos Storkey.
• BEng in Computers and Information technology at Politehnica University of Timisoara. BEng thesis: “HybridAlpha: Reinforcement Learning on resource-constrained systems”. Supervisor: Prof. Calin-Adrian Popa.

Previous research experience

• Research Intern and, afterward, Student Researcher at Google Research, working with Anurag Arnab, Alexey Gritsenko, and Cordelia Schmid on efficient adaptation of large-scale models. Collaborated with Aleksandra Nowak, Utku Evci, and Yann Dauphin from Google DeepMind on a related project.
• Machine Learning Researcher at Everseen, working on real-time multi-camera tracking.