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Formula 1 Data Pioneer


A pioneer in the use of data analytics in Formula 1 motor racing, Neil Martin has spent the last 25 years developing world-class solutions as a member of the senior technical leadership team at McLaren, Red Bull Racing and Ferrari.

Today he runs his own company, Random Logic, providing data analytics solutions to top-level motor racing and clients from across the industry, using deep knowledge gained from operating at the forefront of the data-driven Formula 1 environment.

Current Work:

Software which was originally designed and developed by Neil, or derived from his applications, is used by over half the Formula 1 grid today. As a result he is one of the leaders in the field of data analytics and a highly experienced manager of complex motorsport programmes.

Neil pioneered the application of the Monte Carlo and Game Theory modelling techniques to Race Strategy in 1995 for McLaren Racing. Providing strategic options through the appropriate use of mathematical and business modelling techniques ensured that decisions were made with more complete awareness of likely outcomes and the associated risks.

This served as a springboard for him to also develop mission control rooms, driver-in-the-loop simulators and wind tunnel solutions. Ultimately he changed the approach to Race Strategy modelling such that uncertainty was embraced rather than avoided or ignored.

Having studied Mathematics and Computer Science at the University of Southampton, Neil wrote his MSc research paper on risk assessment. This helped secure him a career working at the forefront of international motorsport for over three-decades.

As part of the senior management with McLaren Racing, Red Bull Racing and Ferrari, Neil has worked with many World Champions including Mika Häkkinen, Kimi Raikkonen, Fernando Alonso and Sebastien Vettel.

As founder of Random Logic Neil provides world class consultancy and bespoke analytical software solutions to businesses across a number of racing series, including manufacturer and customer racing programmes. Neil also works with media production companies, offering detailed analytical insight on racing events.

Neil has spoken for a range of businesses eager to gain management and technical insights from the application of data analytics in managing risk, optimising performance and decision making. His keynote presentations have received widespread acclaim from clients in sectors as diverse as banking, financial services and healthcare.

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