Oliver Brady, originally from Bedfordshire, graduated with an integrated master’s degree in Natural Sciences from the University of East Anglia. For his research project, he investigated the use of the Ornstein-Uhlenbeck process to probabilistically model short-term wind speed and velocity.

Oliver gained industry experience at WeatherQuest, a meteorological consultancy, where he applied machine learning techniques to forecast lightning risk and post-process point-location forecasts. His work reflects a strong motivation to explore how statistics and machine learning can be harnessed to address real-world challenges.

Beyond his academic and professional interests, Oliver enjoys triathlon, playing the piano, and any opportunity to spend extended time outdoors.