I'm working as a Research Scientist on the Science team at DeepMind in London. Previously I was a PhD student on the Cambridge-Tübingen Machine Learning PhD Fellowship, jointly supervised by Prof Zoubin Ghahramani at the Department of Engineering, University of Cambridge and by Prof Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems in Tübingen. I had graduated from Merton College, University of Oxford with the degree Master of Mathematics and Computer Science.
Converting to Optimization in Machine Learning: Perturb-and-MAP, Differential Privacy, and Program Synthesis
Alexander L. Gaunt,
5th International Conference on Learning Representations (ICLR 2017)
(Media coverage: smerity.com; New Scientist; WIRED)
Yee Whye Teh
Part C project (4-th year project), University of Oxford, 2015
My 4-th year project focused on applications of the Mondrian process in machine learning. In particular, efficient random feature approximations of the Laplace kernel were investigated.Thesis (PDF) Poster (PDF) arXiv (link)