Prannay Kaul

Prannay Kaul is a PhD candidate specializing in Machine Learning (ML) and Computer Vision (CV) at the University of Oxford, where he is supervised by Professor Andrew Zisserman. His research focuses on low-data learning for dense computer vision tasks, including egocentric video understanding and vision-language learning. He is affiliated with the EPSRC Autonomous Intelligent Machines & Systems Centre for Doctoral Training (AIMS CDT).1

Educational Background

• Undergraduate Degree: Engineering Science at Somerville College, University of Oxford.
• Thesis: Conducted at Princeton University, focusing on photonics.1

Professional Experience

• Research Intern: Worked at Princeton University from September 2017 to May 2018 in the Lightwave Lab, where he researched photonics integrated interference cancellers under the guidance of Professor Paul Prucnal.1
• Applied Scientist Intern: Completed a five-month internship at Amazon from July to November 2023 in Seattle, Washington.1

Skills and Interests

Prannay's expertise lies in applying machine learning techniques to enhance computer vision systems, particularly in scenarios with limited data. He also engages in various extracurricular activities, including rowing and running.2