I am an MPhil student in the Gatsby Computational Neuroscience Unit, working with Maneesh Sahani. I am particularly interested in how the brain deals with uncertainty and makes decisions consistent with information theoretic principles. My current work explores eye movements within a foveated system from the perspective of information gain.

Academic background

2016 - 2019 MPhil Gatsby Computational Neuroscience Unit
- In the first (taught) year I studied intensive courses in Machine Learning, Theoretical Neuroscience, Kernel Methods and Neural Data Analysis.
- In the second year I taught accessible Theoretical Neuroscience to experimental first-year students and wrote accompanying assignments.
2012 - 2013 Research assistant in Mobile Robotics Group, Oxford University
- While in the Mobile Robotics Group, I designed and built a commercial prototype of a portable indoor laser mapping system using 2D LIDAR, stereo camera and IMU, to showcase the group’s recent research in 3D mapping. This involved mechanical design, software development and systems integration.
2007 - 2011 MEng Engineering Science, Oxford (Lady Margaret Hall), Double First Class Honours
- In my master’s year I specialised in both Information and Biomedical Engineering. For my thesis I designed a system that used computer vision and machine learning techniques to automatically classify tissue types within chronic wounds, based on RGB-D images. This involved techniques such as unsupervised image segmentation, data collection and labelling, feature selection, multiclass classification and local filtering. For this research project I won 2 prizes at Oxford, and was a 2011 SET Awards finalist.