MSc Natural Computation, Dept. of Computer Science, University of York, 2010. Merit (72%).
BSc (Honours) First Class in Computer Science, University of York, 2009 (averaging 78% in final year).
French Baccalaureat (scientific section), Lycée Jean-Baptiste Darnet, St-Yrieix-la-Perche, France; 2006. Overall grade 77.5%, roughly the equivalent of 3 A’s at A level.
FRSA (Fellow of the Royal Society of Arts)
Convenor in Psychology, New College of the Humanities, 2014 - present. Module design (psychology and cognitive science), lecturing, and conference organisation.
Software engineer in machine learning, Unii Ltd, May 2015 - present. Neural network design for text filtering and image classification.
Various consulting work in software engineering and web design
Various student jobs in retail and charity volunteering
Module Leader, Introduction to Research and Statistics on the Postgraduate Certificate in Clinical Ophthalmic Practice, UCL Institute of Ophthalmology. A challenging course involving 30 mature students. December 2014 - present
Developed and taught short course, Introduction to Programming, at UCL CoMPLEX (2013 and 2014)
400+ hours private tuition in programming, biology and neuroscience
Taught two week-long courses on high-performance scientific computing using MATLAB.
Departmental tours for undergraduate applicants at York and UCL; demonstrator at Royal Society exhibition on face recognition (3 days).
Object recognition, temporal visual search and features
The neurological basis of visual perception: encodings and functional substrates
Bio-inspired and non-standard computation
Knowledge representation for automated model comparison
Machine learning: optimisation, regression, backpropagation, convolutional networks, deep learning
Bayesian theory: model comparison, Markov chain Monte Carlo
High-performance computing: experience in parallel Matlab on a 128-core HPC cluster. Expert with the Amazon Compute Cloud (spin up unlimited compute resources on demand)
Wide experience in genetic, evolutionary, neural and bio-inspired algorithms.
Gaussian processes, PCA/ICA.
Statistical testing and automated high-throughput data processing.
Psychophysics: have designed and run over 15 full studies using my own automated analysis framework. Expert knowledge of specialist hardware including CRS. Competent in adaptive sampling, interactive experiments, reaction time measurements and online experimentation.
Experience in confocal and electron microscopy, patch clamping.
Apthorp, D., Nagle, F., & Palmisano, S. (2014). Chaos in balance: Non-linear measures of postural control predict individual variations in visual illusions of motion. PloS one, 9(12), e113897.
Nagle, F and Hickinbotham, S, Embodied reaction logic in a simulated chemical computer, ECAL 2011.
Nagle, F et al: Techniques for Mimicry and Identity Blending Using Morph Space PCA, Lecture Notes in Computer Science, 2013
The College of Richard Collyer, Horsham, Sussex, 2012
Rank Prize Symposium on Perception of Faces, 2014
NCH Mind and Brain Conference 2016: chair and programme committe member