I'm a computer scientist working at Microsoft's lab in Cambridge in the UK. I currently work on human understanding tasks in computer vision, enabled by high fidelity synthetic data. Since getting my masters in Computer Science from the University of Cambridge I've worked on optical design at Microsoft Research, been an RA at Victoria University of Wellington and had a brief stint at an animation studio in Tokyo. A portfolio of my recent work is available at chewitt.me.
Working as part of the Human Synthetics team at Microsoft's lab in Cambridge. Providing tooling to enable human understanding computer vision features for products across Microsoft. Responsibilities inlcuding managing research projects, working with IP lawyers to file patents, writing publications, architecting and implementing data generation and machine learning tooling in python, training machine learning models, establishing and supporting long-term collaborations with product teams and mentoring interns.
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 including work in the optical lab to build prototype devices and writing an optical raytracer in Julia (OpticSim.jl) for simulation of complex optical systems.
Three month internship with the R&D group at OLM Digital animation studio in Tokyo building in-house hair grooming tools for their 3D animation and visual effects pipelines, primarily 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 including parametric hair modelling.
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.
MEng (distinction) 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.