University of Cambridge

University College London

QuantumBlack (McKinsey & Company)

G-Research

Biography

Machine Learning Engineer at G-Research. I recently completed a Master’s in Machine Learning at UCL as well as a Bachelor’s in Computer Science from the University of Cambridge (first-class).

Interests

  • Artificial Intelligence
  • Computer Vision
  • Machine Learning
  • Statistics

Education

  • MSc in Machine Learning, 2021

    University College London

  • BA in Computer Science, 2020

    University of Cambridge

Projects

Multi-modal meta-learning

Improving Few-shot Image Classification using Class Descriptions

The adversarial case in misinformation detection

My master’s dissertation

Non-contact heart rate estimation from videos

My bachelor’s dissertation

Million Plant Map

Software for aiding plant sciences research

Mortimer

A Chess AI using tree search

Recent Posts

Understanding principal component analysis

In this post, we’ll take a deep dive into PCA, from both a mathematical and implementation perspective. We’ll derive the equation from the ground up, look at how we can compute it and finally end with what it can be used for. This post is primarily targeted at those with a basic understanding of PCA but want to know the assumptions it relies on, its properties and derive how it can be computed.
Jul 2, 2020

Education

MSc in Machine Learning

University College London Oct 2020 – Sep 2021
A dedicated Master’s in Machine Learning covering a wide variety of courses including: Approximate Inference and Learning in Probabilistic Models, NLP, Probabilistic and Unsupervized Learning, Reinforcement Learning, amongst several others. My Master’s thesis Investigating the Adversarial Case in Misinformation Detection attempted to discover some of the inherent difficulties in attempting to develop so-called ‘fake news’ detectors with modern NLP-based techniques and was supervised by Emine Yilmaz. I also worked on research within the field of multi-modal meta-learning

BA in Computer Science (1st Class with Honours)

Cambridge CS Oct 2017 – Jun 2020
A Bachelor’s in Computer Science with a broad ranges of topics from hardware to systems to Machine Learning. Some of my favourite courses included: Information Theory, Data Science Principles and Practice, Bioinformatics, amongst many others. I was fortunate enough be supervised by Dr Robert Harle for my undergraduate dissertation.

Experience

 
 
 
 
 

Machine Learning Engineer

G-Research

Jan 2022 – Present London
 
 
 
 
 

Data Science Intern

McKinsey & Company (QuantumBlack)

Sep 2021 – Dec 2021 London
  • Working on representation learning for the medical domain.
 
 
 
 
 

Software Engineering Intern

G-Research

Jun 2019 – Sep 2019 London
 
 
 
 
 

Software Engineering Intern

Intuit

Jun 2018 – Sep 2018 London
  • Worked as a part of a backend team writing production code in Groovy
  • Primarily concerned with the redesign of a service from using a polling based system to transition into a message consumption approach
  • A strong emphasis on TDD
 
 
 
 
 

Software Engineering Intern

Gonville and Caius College

Dec 2017 – Dec 2017 Cambridge
  • Worked with professors and other students on redesigning the meal booking system
  • Developing both front-end and backend code in Python with the use of the Anvil framework

Skills

Machine Learning

Computer Science

Programming

Contact

  • London,