Hi! I’m a final-year PhD student at the University of Edinburgh in the Centre for Doctoral Training in Natural Language Processing. My supervisors are Ivan Titov (primary) and Alexander Koller (secondary).
My PhD topic is compositional generalisation in semantic parsing and introducing structural inductive biases into deep learning models. I’m also interested in better understanding how neural models of language work internally and making them more modular, efficient and easier to explain and debug.
Before I came to Edinburgh, I got my Bachelor’s and Master’s in computational linguistics from Saarland University where I worked on semantic graph parsing with amazing people like Jonas Groschwitz, Meaghan Fowlie, Lucia Donatelli, Pia Weißenhorn and Alexander Koller.
News
- New preprint with John Gkountouras: Language Agents Meet Causality - Bridging LLMs and Causal World Models.
- Student researcher at Google DeepMind with Miloš Stanojević from July to December 2024.
- Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations has been accepted to EMNLP 2024!
- Invited Talk at McGill/Mila NLP reading group.
- Guest Lecture at the University of Amsterdam.
- Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation has been accepted to ACL 2024 and Cache & Distil: Optimising API Calls to Large Language Models has been accepted to ACL Findings!
- Talk on Structural Inductive Biases for Seq2Seq Models at the CL Seminar at the University of Amsterdam.
- Got an Outstanding Paper Award at ACL 2023 for Compositional Generalization without Trees using Multiset Tagging and Latent Permutations 🏅
- Compositional Generalisation with Structured Reordering and Fertility Layers has been accepted to EACL 2023.