PhD Students

• Agnieszka Slowik: Machine Learning in Automated Theorem Proving. (First supervisor with Sean Holden)
• Paul Scherer: Utilization of Graph Structured Data in Machine Learning for Oncology. (First supervisor with Pietro Lio)
• Dmitry Kazhdan: Improving Interpretability of Machine Learning Systems. (First supervisor with Pietro Lio)
• Dimitrios Deslis: Developing an Interactive Computer Support System to Facilitate Teacher Learning of Proof-related Instruction in Mathematics. (First supervisor with Andreas Stylianides in Education Faculty)
• Mei Yang: Designing a Computer-assisted System For Prospective Mathematical Teachers’ Training of Proof-Related Instruction . (First supervisor with Andreas Stylianides in Education Faculty)
• Andrei Margeloiu: Breaking the curse of dimensionality in low-data tasks.
• Urska Matjasec: Interpretable methodology with high performance for tabular data.
• Mateo Espinosa Zarlenga: Concept based learning for explainable AI.
• Albert Qiaochu Jiang: Learning Abstract Mathematical Reasoning.

Post Doctoral Researchers

• Dr Zohreh Shams. Mark Foundation for Cancer Research: AI for Integrative Cancer Medicine.
  Leverhulme Trust Project: ARD: Accessible Reasoning with Diagrams.
• Dr Nikola Simidjievski. Mark Foundation for Cancer Research: AI for Integrative Cancer Medicine.
• Dr Helena Andres-Terre. Mark Foundation for Cancer Research: AI for Integrative Cancer Medicine.
• Dr Daniel Raggi. EPSRC Project: Automating Representation Choice for AI Tools.

Past PhD Students

• Aaron Stockdill (2021): Automating representation change across domains for reasoning.
• Edward Ayers (2021): A Tool for Producing Verified, Explainable Proofs. (First supervisor with Tim Gowers in Maths Department)
• Botty Dimanov (2021): Interpretable Deep Learning: Beyond Feature-Importance with Concept-based Explanations.
• Duo Wang (2021): Neural Diagrammatic Reasoning. (First supervisor with Pietro Lio)
• Advait Sarkar (2017): Interactive Analytical Modelling. (First supervisor with Alan Blackwell and Martin Spott)
• Matej Urbas (2013): Mechanising Heterogeneous Reasoning in Theorem Provers.
• Daniel Winterstein (2004): Automating Diagrammatic Reasoning in Continuous Domains. (Second supervisor with Alan Bundy at University of Edinburgh)

Past Post Doctoral Researchers

• Dr Gem Stapleton. EPSRC Project: Automating Representation Choice for AI Tools.