Currently

• I am a PhD student at the Max Planck Institute for Intelligent Systems and University of Tübingen, being part of the IMPRS-IS doctoral program since May 2021. I am working under the supervision of Prof. Zeynep Akata and Prof. Andreas Geiger. I am primary interested in multi-modal learning, zero/few-shot learning, efficient adaptation of large-scale models and explainability and interpretability.
• I am also Guest PhD Student at Helmholtz Munich , conducting research under the supervision of Prof. Zeynep Akata, as part of my PhD project at IMPRS-IS.

Previously

• I was a Research Intern and afterwards a Student Researcher at Google Research, working with Anurag Arnab, Alexey Gritsenko and Cordelia Schmid on efficient adaptation of large-scale models. Also collaborated with Aleksandra Nowak, Utku Evci and Yann Dauphin from Google DeepMind on a related project.
• Prior to my PhD I was a Machine Learning Researcher at Everseen, where I worked in the area of real-time multi-camera tracking.
• I did an MSc in AI with Distinction at the University of Edinburgh. The title of my MSc thesis was “What neural networks can not learn?”, done under the supervision of Prof. Amos Storkey.
• I did my BEng in Computers and Information technology at Politehnica University of Timisoara. The title of my BEng thesis was “HybridAlpha: Reinforcement Learning on resource-constrained systems”, done under the supervision of Prof. Calin-Adrian Popa.