Overview
I am a motivated and driven researcher looking for an intellectually stimulating and challenging full time position as I make the transition from PhD to work. I possess a uniquely interdisciplinary skill set supported by an education in both the Arts and the Science. I like writing, running, hill walking, chess, and philosophy. I also write lots of (quite bad) fiction.
Papers
- 2020, July - Clusters In Explanation Space: Inferring Disease Subtypes from Model Explanations. Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis. Sci Rep 10, 12900 (2020).
- 2019, November - EMAP: Explanation by Minimal Adversarial Perturbation. Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos, Konstantinos Georgatzis. arXiv preprint arXiv:1912.00872.
- 2019, July - Inattentional Blindness in Conjunction Search. Matt Chapman-Rounds, Christoper G. Lucas, and Frank Keller. Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 1:2688-2694, 2019.
Education
- PhD Informatics, University of Edinburgh. Thesis: ‘Non-Parametric Bayesian Modelling of Human Visual Attention’ (writing up), Supervisors: Frank Keller, Chris Lucas
- MSc(R) Data Science, Distinction, University of Edinburgh. Thesis: ‘Cognitive Plausibility of Deep Neural Networks with Attention’, Supervisor: Frank Keller
- MSc Intelligent Systems, Distinction, University of Sussex. Thesis: ‘Free Energy, Bistable Transitions, and Binary Disambiguation’, Supervisor: Anil Seth
- MA Culture and Thought after 1945, Distinction, University of York. Thesis: ‘Phenomenological Concatenationism’, high distinction, Supervisor: Peter Lamarque
- BA English and Related Literature, First Class Honours, University of York.