I'm a year old computer scientist based in the UK. I graduated in 2018 with a master's degree in computer science from the University of Cambridge and have been involved in a number of projects at a variety of institutions around the world since then. I'm currently working as a research scientist focussing on computer graphics, computer vision and machine learning at Microsoft's lab in Cambridge, UK. A portfolio of my recent work is available at chewitt.me.
Working at the intersection of computer graphics, computer visions and machine learning as part of the Presence AI team based in Cambridge, UK.
Eighteen month consultancy position with the Graphics & Multimedia group at Microsoft's research lab in Cambridge. Helping to build the next generation of head mounted displays.
Three month internship with the R&D group at OLM Digital animation studio in Tokyo building in-house tooling for their 3D animation and visual effects pipelines. Primarily developing custom modelling tools for Autodesk Maya.
Three months with the Cognition research and development team based at Microsoft's lab in Cambridge, working on application of machine learning to problems in computer graphics and vision.
Three month RA position at the CMIC, Victoria University of Wellington in New Zealand, working with researchers and industry partners. Independent project work on computer vision techniques for omnidirectional stereoscopic video and its application to immersive mixed reality experiences.
Six month internship at Microsoft Research in Cambridge working on near-eye holographic display technologies for mixed reality. Development of hologram design algorithms and prototyping of holographic display systems, contributed to two patents relating to holographic and near-eye displays.
Two month internship working at Cydar in Cambridge, helping to develop imaging technologies for surgeons to use in the OR. Software development work focussing on web-based technologies and user interaction.
Three month internship within the web team at Jagex, focussed on projects involving the exploration of potential future business opportunities. Working as part of a small team to develop prototype web-based software.
MEng (distinction - 87%) in computer science
Research focussed masters involving lectures as well as independent research projects and a thesis. Courses: Affective Computing, Computer Vision, Probabilistic Machine Learning, Advanced topics in mobile and sensor systems and data modelling and Interaction with machine learning. My thesis was looking at facial alignment, involving application of machine learning to computer vision.
BA (first class) in computer science
Diverse three year course covering topics ranging from physics and computer hardware design to machine learning and human computer interaction.
T. Baltrušaitis, E. Wood, V. Estellers, C. Hewitt, S. Dziadzio, M. Kowalski, M. Johnson, T. Cashman, and J. Shotton - Microsoft 2020
A. Georgiou, J. Kollin, B. Kress, A. Lunardhi, S. Rehman and C. Hewitt - Microsoft, 2019
Andreas Georgiou, Joel Kollin, Charlie Hewitt and Niel Emerton - Microsoft, 2019
Charlie Hewitt, Marwa Mahmoud - Affective Computing & Intelligent Interaction 2019
Charlie Hewitt, Ioannis Politis, Theo Amanatidis, Advait Sarkar - Intelligent User Interfaces 2019
Masters Dissertation - Supervised by Marwa Mahmoud - University of Cambridge 2018
Undergraduate Dissertation - Supervised by Gyorgy Denes - University of Cambridge 2017