People

Collaborators & Students

The researchers, students, and groups I work with.

Collaborators

Groups & Collaborators

I am very grateful to a number of academics, researchers and PhD students whom I am currently working with and/or previously worked with.

The Cambridge PicoLM Team

Richard Diehl Martinez (and his MPhil/Part III students: Yuval Weiss and David Demitri Africa), Ryan Daniels (a Machine Learning Engineer with the Accelerate Programme for Scientific Discovery), and Prof Paula Buttery.

Cambridge NLIP Group

Zeb Goriely, Pietro Lesci, Julius Cheng, Dr Guy Emerson, Dr Fermin Moscoso del Prado Martin – we are working on information-theoretic models of diachronic phonological typology. Paul Siewert and I have also been thinking about Category Theoretic approaches in Linguistics. Mila Marcheva, Xiaochen (Neo) Zhu.

ALTA Institute (Computer Science & Technology)

XFACT (KAIST AI) & NAVER Cloud

Jiwoo Hong (KAIST/Amazon Rufus), Noah Lee (KAIST/Naver Cloud), Dr James Thorne, Jeonghoon Kim (NAVER Cloud, KAIST AI), Woojin Chung.

Cambridge Theoretical & Applied Linguistics (TAL)

Cambridge Language Technology Lab (LTL)

Individual Collaborators

Dr Donya Rooin (MilaNLP, Bocconi University) and Hongyi (Sam) Gu (KCL/NetMind.AI). Dr Konstantinos Voudouris (Institute for Human-Centered AI at Helmholtz Munich). Marek Masiak (Oxford University). Dr Thiemo Wambsganss (University of St Gallen, now Bern University – UROP Supervisor 2021).

Students Supervised

Students

I have had the pleasure of supervising the following students for their research projects.

MPhil Advanced Computer Science (ACS) / Part III CST

Bianca-Mihaela Ganescu – my MPhil student, completed a thesis on Small Multimodal (Vision-Language Models) for the MPhil in Advanced Computer Science. Co-supervised with Dr Andrew Caines and Prof Paula Buttery.

Undergraduate

Ellie Polyakova Reed (ep757), Shivan Arora (sa2200), Jacy To (cyt33), Ali Kheirkhah (PicoLM Research Intern, co-supervised by Richard Diehl Martinez).

Theses

Supervised Theses & Dissertations

  • “Integrating Cognitively-Inspired Selective Attention Cues in Small Vision-Language Models”. 2025. Bianca Ganescu, MPhil Advanced Computer Science Thesis.
  • Evaluating Typological Effects of L2 English in Language Model Benchmarks. Ellie P. Reed, 2025. Supervised UROP Report.
  • Controlled Text Generation: a teacher-student model paradigm for CEFR-levelled complexity control. Shivan Arora, 2025. Supervised UROP Report.

Acknowledgements

Acknowledgements

Papers I have been acknowledged in: