Below are some select projects

MSc thesis at Imperial College London

Robust low-rank modelling on tensors: new algorithms and extensive comparisons

Supervisor: Dr Stefanos Zafeiriou

Awarded the Winton Capital Computing MSc Project Prize (best MSc thesis in Computer Science, 1/188 students)

Robust non-negative dictionary learning

A MATLAB implementation of the algorithm from

Robust Non-Negative Dictionary Learning Qihe Pan, Deguang Kong, Chris Ding and Bin Luo In Proceedings of the 28th conference of the AAAI - 2014

that I wrote for the paper I have submitted to ICCV 2017.

A data science competition

I took part in the Pump it Up competition hosted by DrivenData in May 2016 as part of the recruitment process of a London startup. With about two days of quick hacking at the time, I am currently in the top 7%.

Bayesian optimisation for training RBMs

The purpose of this coursework was to experiment with Restricted Boltzman Machines (RBMs). I took it a step further and used Bayesian optimisation with SMAC to find good hyperparameters, and did a bit of statistical analysis to validate some hypothesis and findings.