Experience

Education

  • September 2019 - June 2023: MEng Electronic and Information Engineering at Imperial College London
    • Governors' MEng Prize in Electronic & Information Engineering
    • Dean's List Year 2, 3, 4
    • First Class Honours - Programme total: 80.2%
    • Relevant Modules: Machine Learning, Deep Learning, Probabilistic Inference, AI, Computer Vision and Pattern Recognition, Self Organising Multi Agent Systems, Robotic Manipulation
  • 2017 - 2019: International Baccalaureate Diploma at Whitgift School
    • Grade: 43/45
    • HL Mathematics, Physics, Chemistry: 7/7
    • SL Economics, French: 7/7 | English Literature: 6/7

Work Experience

  • April - September 2022: Computer Vision Intern at Humanising Autonomy
    • Implemented active learning approaches for training object detection models
    • Automated data pipeline with AWS
    • Improved tracking performance of object detection, writing product-quality and unit-tested Python code
    • Developed reproducible way of creating demos on the edge of object detection systems
  • June - October 2021: Deep Learning Software Engineering Intern at MathWorks
    • Enhanced pooling layers and improved layer performance by up to 40 times
    • Implemented video action recognition example in MATLAB based on Fast 3D Convolutions

Invited Talks

  • Convolutional Neural Processes for Inpainting Satellite Images - 7 June 2022. CSML Reading Group, Imperial College London. [Slides]

Reviewing Experience

  • Reviewer for ICLR 2023 Workshop: Tackling Climate Change with Machine Learning [Site]
  • Reviewer for NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning [Site]