Experience

Imperial College London

• Research Services
• 700 & Above Employee

• The PhD Equality, Diversity and Culture Representative

  • Jan 2021 - Present

  In this role, I represent all PhD students in the Department of Computing. I act to ensure that all voices are heard and campaign for a more diverse future for the department.

• PHD Candidate

  • Oct 2020 - Present

• Teaching Scholar

  • Oct 2020 - Present

  Alongside my PhD studies, I teach undergraduate and postgraduate students, delivering course-related topics through lectures, tutorials and workshops, creating and marking coursework and tutorial materials and managing modules.Modules:* Deep Learning - 70010 -Course Support Lead - 2020-present *• Lectured large audiences on complex problem sets.• Designed, created and deliver all coursework. This represents 50% of the weighting on the module marks.• Organise and lead a large team of ≈ 20 GTAs (large cohorts 300+).• Created and maintained a series of fun online quizzes that have been taken over 15,000 times.• Lead tutorial sessions* Intro to Machine Learning - 70050 - Course Support Lead - 2020-2022 *• Upgraded auto-grading software and tests for automatic marking of coursework submissions.• Created a series of fun online quizzes that have been taken over 10,000 times.• Led and managed a large group of GTAs.• Led tutorial sessions.* Python Programming - 70053 - Course Support Lead - 2020-present *• Designed and delivered lecture and tutorial content.• Created challenging tutorial material, such as tasking students to create their own COVID-19 contact tracing algorithms.• Lead tutorial sessions.* Ethics, Privacy, AI in Society - 70052 - Teaching Assistant - 2020-2021*• Marked coursework and attended tutorials Show less



The Alan Turing Institute

• United Kingdom
• Research Services
• 300 - 400 Employee

• Research Scientist

  • Jun 2021 - Jun 2022

  40% secondment to The Alan Turing Institute and The UK Health Security Agency (UKHSA), evaluating the potential of bioacoustic analysis for a digital mass test for COVID-19. Conducted a nationwide study involving over 70,000 participants yielding conclusive results. First author Nature Machine Intelligence paper, and reported to Number 10. Worked with a diverse, multidisciplinary team of policymakers, civil servants, researchers and industry leads. 40% secondment to The Alan Turing Institute and The UK Health Security Agency (UKHSA), evaluating the potential of bioacoustic analysis for a digital mass test for COVID-19. Conducted a nationwide study involving over 70,000 participants yielding conclusive results. First author Nature Machine Intelligence paper, and reported to Number 10. Worked with a diverse, multidisciplinary team of policymakers, civil servants, researchers and industry leads.