About Me

I am a Research Fellow in Computer Science at St Catharine's College at the University of Cambridge, and part-time Fellow at the Alan Turing Institute, the UK's national institute for data science. I will obtain my PhD from the Cambridge machine learning group, working with Prof Zoubin Ghahramani and funded by the Google Europe Doctoral Fellowship. Prior to that I studied at Oxford Computer Science department for a Master's degree under the supervision of Prof Phil Blunsom. Before my MSc I worked as a software engineer for 3 years at IDesia Biometrics developing code and UI for mobile platforms. I did my undergraduate in mathematics and computer science at the Open University in Israel, where I worked on computational biology, deep learning, and game theory as a fourth year project.


NIPS papers and Bayesian Deep Learning workshop


Publications page has been updated with NIPS papers. We're also organising a Bayesian Deep Learning workshop at NIPS 2016!

Data Scientist Coach at NASA


I am teaching machine learning at the NASA Frontier Development Lab, helping NASA prepare for asteroid threats through the use of machine learning! Adapted slides from the talk are available here.

ICML and blog updates


I added new papers presented at ICML and the Data Efficient Machine Learning ICML workshop [1, 2, 3]. Also blog section has been updated with new posts, and added a new talk given at the ATI workshop at the Royal Society.

New blog post and more


I added a new blog post about deep learning and scientific methodology. Also added new papers [1, 2, 3] and NIPS posters [1, 2, 3], as well as ICML videos [1, 2] and a video of the talk ``Modern Deep Learning through Bayesian Eyes'' given at Microsoft Research.

Invited talks


I'll be talking about Deep Learning Uncertainty at UCL on 13/11, ETH (Zurich) on 16/11, ATI Deep Learning workshop (Edinburgh) on 25/11, and Microsoft Research (Cambridge) on 26/11.

Invited Presentation


I will present Dropout as a Bayesian Approximation at the ``First Deep Learning Symposium'' at NIPS 2015.

Research interests

My interests lie in the fields of linguistics, applied maths, and computer science. Most of my work is motivated by problems found in the intersections of these fields. At the moment, I develop Bayesian techniques for deep learning, with applications to reinforcement learning. In the past I worked on Bayesian modelling, approximate inference, natural language processing, and much more. A list of publications is available here.

I am a member of Gonville and Caius College.

Curriculum vitae

My Résumé is available here.

Contact me


yg279 -at- cam.ac.uk


Cambridge University
Engineering Department
Cambridge, CB2 1PZ
United Kingdom