🧠 Current Role:

• 🔬Research Intern at Google DeepMind working on video segmentation 🇨🇭

• 👩‍🏫 Supervised by Stefano Pellegrini, Jasper Uijlings, and Cordelia Schmid

💼 Previous Experience:

• 🔬 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 & Prof. Andreas Geiger. Thesis yet to be submitted.

• 🤖 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: Enhancing the efficiency of deep learning systems, with a focus on data-efficient (low-shot learning) and model-efficient (efficient adaptation) methods. Also experienced in multimodal learning.

You can find me on Twitter or LinkedIn - for my research and latest updates, check out my Google Scholar and Homepage!