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Students
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Current PhD Students:

  • Kairui Zhang PhD Bristol 2024 - current, cosupervised with Dr Zahraa Abdallah
  • Jasmine Owers (PhD Bristol 2023 - current, cosupervised with Dr Edwin Simpson. MSc Data Science, Bristol, 2021).
  • Beth Pearson PhD Bristol 2023 - current, cosupervised with Dr Mike Wray
  • Xiaoyu Tong (PhD UvA 2021 - current, co-supervised with Prof. Ekaterina Shutova)

Current MSc Students

  • Bilal Boulbarss (MSc Data Science, Amsterdam, 2025)
  • Lili Bognar (MSc Data Science, Amsterdam, 2025)
  • Ananay Wahedra (MSc Data Science, Amsterdam, 2025)
  • Rens Roelen (MSc Data Science, Amsterdam, 2025)
  • Clio Feng (MSc AI, Amsterdam, 2025)
  • Henrietta Chen (MSc Logic, Amsterdam, 2025)
  • Philipp Hellwig (MSc Psychology, Amsterdam, 2025)

Past PhD Students

  • Zhijin Guo (PhD Engineering Maths, Bristol, 2021-2024)

Past MSc Students

  • Changshuo Wang (MSc Engineering Maths, Bristol, 2022) Changshuo's research is in extending neural methods for building density matrices.
  • Qiming Chen (MSc Engineering Maths, Bristol, 2022) Qiming looks at modelling generic sentences with density matrices.
  • Mike Nelhams (MEng Engineering Maths). Mike is looking at using density matrices on larger-scale entailment datasets.
  • Ben Lippold (MEng Engineering Maths, Bristol, 2022). Ben is investigating the interaction of metaphor and natural language inference.
  • Shuhao Zhang (MSc Data Science, Bristol, 2021). Shuhao looked at novel approaches to building word region embeddings.
  • Jiaqi Wu (MSc Data Science, Bristol, 2021). Jiaqi investigated the performance of neural density matrices to encode hyponymy.
  • Xiaoyu Tong (MSc Brain and Cognitive Sciences, UvA, 2020, co-supervised with Ekaterina Shutova). Xiaoyu built a large natural language metaphor paraphrase dataset and undertook a systematic review of neural methods for metaphor processing in NLP.
  • Francois Meyer (MSc AI, UvA, 2020). Francois built a neural model for generating density matrix word embeddings, showing how these embeddings can represent multiple senses of words which are disambiguated in the process of composition.
  • Verna Dankers (MSc AI, UvA, 2019, co-supervised with Ekaterina Shutova). Verna developed a multitask learning architecture to jointly detect metaphor and emotion, as well as a heap of other stuff!
  • Yaared al-Mehairi (MFoCS, Oxford, 2016, co-supervised with Bob Coecke). Yaared worked on linking the DisCoCat model with Smolensky's Integrated Connectionist-Symbolic model.
  • Dea Bankova (MFoCS, Oxford, 2015, co-supervised with Bob Coecke). Dea worked on the use of density matrix models for hyponymy and entailment.