Will is currently a Technical Assistant in the Dehns Mechanical Engineering group. He joined Dehns in 2021 after graduating from the University of Cambridge with a First Class Master of Engineering degree. In his studies he specialised in Information Engineering with his final year research project focusing on the application of deep neural networks in scene coordinate regression for camera localisation in indoor environments.
Will assists a wide range of clients from multinational companies with international patent portfolios, to small enterprises and individual inventors. A particular area of interest includes working with University spin-outs, including those with a focus on AI inventions.
Will has gained experience relating to a wide variety of technologies in engineering and science. Particular areas of technology include commercial and residential refrigeration, beverage dispensation and packaging, AI, aircraft mechanical systems, gas turbine engines, control systems, and medical devices.
He also gained experience in industry whilst at university by working for a start-up developing smart autonomous robots for soft fruit picking as well as a major technology company. In addition to this, he was a member of the University of Cambridge’s Formula Student team, leading the electronics sub-team.
MEng (First Class), University of Cambridge, 2021