Cohort 2022

Meet the current programme doctoral researchers that started in 2022

Cohort 22 Photo
Sydelle De Souza Photo

Sydelle De Souza

Research InterestsComputational cognitive models of language processing. Specifically, analogical processes in the acquisition of semi-compositional verb-argument structures. Also, systematicity in biological and artificial systems

Research Topic: Investigating the Acquisition, Processing, & Emergence of Semi-Compositional Verb-Argument Structures

Supervisors: Jenny Culbertson, Frank Mollica

Socials: LinkedIn Personal Website

Christina Du Photo

Christina Du

Research Interests: hallucination mitigation, reasoning, interpretability, knowledge mechanism

Research Topic: Reducing Faithfulness Hallucination in Summarisation

Supervisors: Pasquale Minervini, Ivan Titov

Socials: LinkedIn Google Scholar

Tekevwe Kwakpovwe

Tekevwe Kwakpovwe

Research InterestsComputational models of cognitions, pragmatics, quantitative reasoning and language acquisition, in NLP, NLP for low-resourced languages and the philosophy of cognitive science and language

Research Topic: 'Most' as Instructions for Numerical Perception

Supervisors: Dan Lassiter, Frank Mollica

Ella Markham Photo

Ella Markham

Research InterestsSemantics/pragmatics acquisition, Computational modelling of language acquisition

Research Topic: Low Mapping Words as Incremental Meaning Refinement

Supervisors: Hugh Rabagliati, Neil Bramley

Socials: LinkedIn Google Scholar Personal Website

Nickil Maveli Photo

Nickil Maveli

Research Interests: LLMs for code understanding and generation, code semantics, benchmarking and evaluation for code

Research Topic: Functional Equivalence of Code and its Understanding through LLMs

Supervisors: Shay Cohen, Antonio Vergari

Socials: LinkedIn Google Scholar Personal Website

Sean Memery Photo

Sean Memery

Research Interests: 3D scene generation from textual descriptions and physics-informed networks

Research Topic: Reasoning about Complex Physical Systems in Natural Language

Supervisors: Kartic Subr, Mirella Lapata

Piotr Nawrot Photo

Piotr Nawrot

Research Interests: Improving the efficiency of neural models, adaptive and dynamic memory

Research Topic: Conditional Compression for Efficient Neural Models

Supervisors: Edo Ponti, Ivan Titov

Socials: LinkedIn Google Scholar Personal Website

Opeyemi Osakuade Photo

Opeyemi Osakuade

Research InterestsDeep learning for speech synthesis, speech recognition, and natural language understanding

Research Topic: Analysis of Self-supervised Speech Representations for Tone Languages

Supervisors: Simon King, Korin Richmond

Argyrios Papoudakis Photo

Argyrios Papoudakis

Research InterestsLong-context reasoning and modelling, text-generation, multi-modal learning (language and vision)

Research Topic: Understanding Characters in Long-form Narratives

Supervisors:  Frank Keller, Mirella Lapata, Ivan Titov

Socials: LinkedIn Google Scholar Personal Website

Guillem Ramirez Santos Photo

Guillem Ramirez Santos

Research Interests: privacy-preserving machine learning, optimisation of API calls to LLMs

Research Topic: Collaborations between LLMs with Privacy and Efficiency Constraints

Supervisors: Ivan Titov, Lexi Birch

Socials: LinkedIn Google Scholar Personal Website

Ivan Vegner Photo

Ivan Vegner

Research InterestsNeuro-symbolic learning of logical predicate structures, few-shot and zero-shot learning, out-of-domain generalization

Research Topic: End-to-End Neural Analogical Reasoning

Supervisors: Alex Doumas, Siddharth Narayanaswamy

Socials: LinkedIn Google Scholar

Danna Zheng Photo

Danna Zheng

Research InterestsMultilingual semantic parsing, especially text-to-SQL

Research Topic: Cross-Domain and Cross-Lingual Text-to-SQL Semantic Parsing

Supervisors: Jeff Pan, Mirella Lapata

Giulio Zhou Photo

Giulio Zhou

Research Interests: Machine Translation and Natural Language Generation/Understanding. Specifically, deep learning applications in NLP with focus on linguistically-informed and low-resourced systems

Research Topic: Prosody in Text: What is Lost and How to Retain it

Supervisors:  Barry Haddow, Lexi Birch