Focus area: Foundations of ML: Natural Language Processing

I am a third year ELLIS Ph.D. at TU Darmstadt (UKP Lab), Germany and the University of Cambridge, UK. I am supervised by Prof. Iryna Gurevych and Prof. Anna Korhonen. My research interests lie at the intersection of NLP and ML. Specifically, I am interested in:
– Cross-lingual generalization (e.g., plasticity, early period of training, memorization vs generalization, spurious correlations etc.)
– Culturally aware and adapted NLP
– Multimodality
Previously, I studied at the University of Toronto, where I obtained both of my undergraduate and master’s degrees. My master’s research was under the supervision of Prof. Brendan Frey (PSI Lab, Toronto ML Group). I have been working in the industry for nearly a decade in the domain of NLP before I went back to school. I worked at Canadian start-ups like Meta (acquired by CZI), Wattpad (acquired by NAVER WEBTOON), and ElementAI.

PhD student, AutoML Freiburg

Iryna Gurevych is Professor of Computer Science and Director of the Ubiquitous Knowledge Processing (UKP) Lab at the Technical University (TU) of Darmstadt. She is an ELLIS Fellow and Co-Director of the ELLIS NLP Program. She is widely known for her fundamental contributions to and innovative applications of natural language processing and machine learning. Iryna Gurevych’s work has received numerous prestigious awards, including the Milner Award of the Royal Society, an ERC Advanced Grant, and the first-ever Hessian LOEWE Distinguished Chair Award. She has taught both foundational and advanced courses in NLP, Information Management, Ethics in NLP, and Introduction to Scientific Work. She founded and served as the spokesperson for two research training groups in NLP and Computational Linguistics and has supervised more than 25 PhD students.

Prof. Dr. Marcus Rohrbach is a Full Professor (W3) at TU Darmstadt for Multimodal Reliable AI since 2023. He received his Ph.D. from Saarland University, working at the Max Planck Institute for Informatics with Prof. Dr. Bernt Schiele (2010-2014). During his postdoc at UC Berkeley with Prof. Dr. Trevor Darrell, USA, he pioneered multimodal deep learning. As a research scientist at FAIR (Fundamental AI Research, Meta, 2017-2023), he has scaled multimodal learning using multi-task and self-supervised methods and developed fundamental ideas for learning with rare and novel concepts, as well as continuous learning. In 2022, Dr. Rohrbach was awarded an Alexander von Humboldt Professorship for Artificial Intelligence for his outstanding scientific achievements, and in 2023, the LOEWE Spitzenprofessur.