Welcome to my personal homepage
I am a machine learning scientist at Amazon, based in Cambridge, UK.
Prior to that, I worked as a research associate in machine learning and robotics at Sheffield, and before that I pursued my PhD degree with topic Deep Gaussian Processes and Variational Propagation of Uncertainty.
My area of interest is machine learning, and more specifically: Bayesian non-parametrics (focusing on both data efficiency and scalability), representation learning, uncertainty quantification, big data. In a recent strand of work I seek to bridge the gap between representation learning and decision-making.
Contact
lastname {at} amazon {dot} com
News
- Jul. 2017 Co-organizing the third School and Workshop on Data Science in Africa in Arusha, Tanzania.
- May-June. 2017 Two UAI papers (on RL and IRL) and one ICML paper on Preferrential Bayesian Optimization.
- Jun. 2017 Attending the UQ workshop at ICERM, Boston.
- May. 2017 Giving a talk at the Univ. of Bristol.
- Jan. 2017 New paper on non-linear information fusion algorithms.
- Dec. 2016 New paper on duelling Bayesian optimization.
- *** New very extensive paper on non-linear Bayesian multi-view learning.