Experience

Cambridge Centre for AI in Medicine

• United Kingdom
• Think Tanks
• 1 - 100 Employee

• PHD Student

  • Sep 2021 - Present

  I'm researching how time series analysis can be used in medical prognosis and how Deep Learning can be applied to the problem. I'm researching how time series analysis can be used in medical prognosis and how Deep Learning can be applied to the problem.



Google

• United States
• Software Development
• 700 & Above Employee

• Student Researcher

  • Jul 2022 - Dec 2022

  Research the use of continuous time machine learning models in healthcare. Research the use of continuous time machine learning models in healthcare.



University of Cambridge

• United Kingdom
• Research Services
• 700 & Above Employee

• Artificial Intelligence Intern

  • Jun 2020 - Sep 2020

  Worked as a research intern in the Cambridge University AI Group. I investigated how to adapt Neural ODEs to incoming data without retraining, this lead to an ICLR 2021 paper entitled Neural ODE Processes. Worked as a research intern in the Cambridge University AI Group. I investigated how to adapt Neural ODEs to incoming data without retraining, this lead to an ICLR 2021 paper entitled Neural ODE Processes.



UK Centre for Ecology & Hydrology (UKCEH)

• United Kingdom
• Research Services
• 200 - 300 Employee

• Summer Intern

  • Jun 2018 - Sep 2018

  I spent 10 weeks creating a mathematical model using Python, to predict the way that sunlight interacts with clouds. Additionally I collected data to compare with the model over 2 weeks. The purpose of the model is to be used when drones are collecting data about the Earth's surface, so that the light levels are known. I spent 10 weeks creating a mathematical model using Python, to predict the way that sunlight interacts with clouds. Additionally I collected data to compare with the model over 2 weeks. The purpose of the model is to be used when drones are collecting data about the Earth's surface, so that the light levels are known.