Dr Anita Faul (Cambridge)
Anita Faul came to Cambridge after studying two years in Germany. She did Part II and Part III Mathematics at Churchill College, Cambridge. Since these are only two years, and three years are necessary for a first degree, she does not hold one. However, this was followed by a PhD on the Faul-Powell Algorithm for Radial Basis Function Interpolation under the supervision of Professor Mike Powell. She then worked on the Relevance Vector Machine with Mike Tipping at Microsoft Research Cambridge. Ten years in industry followed where she worked on various algorithms on mobile phone networks, image processing and data visualization. Current projects are on machine learning techniques. In teaching she enjoys to bring out the underlying, connecting principles of algorithms which is the emphasis of a book on Numerical Analysis she is writing. She has another life, and it definitely feels like another life, as mother of three.
Professor Alan O'Neill (Reading)
Georgios is a PhD student at the Laboratory for Scientific Computing (LSC) under the supervision of Dr Anita Faul funded by BP. His current research interests include Bayesian Inference, Compressive Sensing and Unsupervised Feature Learning. Before joining the LSC, he received an MEng in Information Engineering from the Department of Electrical and Electronic Engineering at Imperial College London. There, he worked on human detection and tracking in video using Support Vector Machines. He is interested in machine learning and artificial intelligence in general and in large-scale algorithmic implementation using CUDA for GPGPUs.