Current:

• Machine Learning Researcher at Apple, working on multimodal learning .

Previous Experience:

• Research Intern at Google DeepMind working on video segmentation. Supervised by Stefano Pellegrini, Jasper Uijlings, and Cordelia Schmid

• Research Intern & Student Researcher at Google Research working on efficient adaptation of lare-scale models. Supervised by Anurag Arnab, Alexey Gritsenko, and Cordelia Schmid

  • Collaborated with Aleksandra Nowak, Utku Evci, and Yann Dauphin from Google DeepMind on a related project.

• Machine Learning Researcher at Everseen working on tracking and re-identification.

Education:

• IMPRS-IS Computer Science PhD Student in the Explainable Machine Learning Group in Munich, with a guest affiliation at Helmholtz Munich & the Technical University of Munich. Supervised by Prof. Zeynep Akata (TUM & Helmholtz Munich) & Prof. Andreas Geiger (University of Tübingen).

  • Examination committee: Prof. Zeynep Akata, Prof. Andreas Geiger, Prof. Justus Thies (TU Darmstadt), Prof. Hildegard Kühne (University of Tübingen & MIT-IBM Watson AI Lab).

• MSc in Artificial Intelligence from the University of Edinburgh. MSc thesis supervised by Prof. Amos Storkey.

• BEng in Computers and Information Technology from Politehnica University of Timisoara. BEng thesis supervised by Prof. Calin-Adrian Popa

⚡ Research Focus: Multimodal learning (audio-visual), multimodal large language models, video semantic segmentation and tracking.