We use humble algorithms that preserve transparency without any black boxes.
Mind Foundry was created out of the belief that AI and good scientific principles that go behind AI and machine learning will make fundamental transformations to the world around us.
To do this, we build algorithms and solutions which help people make better decisions, cope with the deluge of data in a profound and principled way, and allow that wealth of information to come through to make transformations at every level in business, in industry, in science and indeed in society.
As the world moves to this digital transformation, Mind Foundry is there providing a foundation and providing principles in a scaffold which will help people and companies make sense of this ocean of data.
Brian Mullins is an entrepreneur and technical leader with over a decade of experience in high growth technology companies. In his prior roles as CEO, Brian was responsible for all aspects of leadership and management of over 350 employees across four countries; raising over $330 MM in investment capital.
Brian has been on the forefront of technology and studies the potential of technology to positively change the lives of people around the world. He has been awarded over 100 U.S. patents, has been asked to testify as an expert before the U.S. Senate, received an Edison award for Industrial Design, was named one of the CNBC Disruptor 50, and was named one of Goldman Sachs “100 Most Intriguing Entrepreneurs."
Professor Stephen Roberts is the Royal Academy of Engineering / Man Group Professor of Machine Learning at the University of Oxford. He has published extensively, having over 350 publications which have accrued more than 27,000 citations and 22 awards, including two medals.
Stephen’s interests lie in the theory and methodology of machine learning for large-scale real-world problems, especially those in which noise and uncertainty abound. He has successfully applied these approaches to a wide range of problem domains including astronomy, biology, finance, engineering, control, sensor networks, and system monitoring.
Michael A Osborne is a Professor of Machine Learning at the University of Oxford. His work in Machine Learning has been successfully applied in diverse contexts, from aiding the detection of planets in distant solar systems to enabling self-driving cars to determine when their maps may have changed due to roadworks.
Mike also has deep interests in the practical use of machine learning to enable automation, while ensuring that such advances are made in sympathy with societal needs. His work on the significance of machine learning and robotics to future labour markets is highly cited and has impacted government policy and been featured in major media outlets.
Chief Commercial Officer
Jonathan Doan is a software sales veteran with over 20 years of leadership experience in a variety of startup sales roles including Stardog, Visual Sciences, Omniture, Tealium and WebTrends where he helped drive strategy and rapid expansion to new markets.
As GVP of Limelight Networks, he helped to launch new products to market, remake the existing sales organization and recover from the loss of 20% of the company revenue when Netflix launched their own global infrastructure. Primarily focused on building teams to sell to Global 2000 clients, JD has operated teams that service all major global markets.
Richard Apletree is a highly experienced CFO having spent 7 years building and growing giffgaff from a startup into a £400m revenue business. As a member of the Executive Team and Board, he was responsible for both the Finance and Business Intelligence functions within the business, as well as business development of giffgaff into new geographies and markets.
Prior to this, he was the Head of Commercial finance in Tesco Mobile, joining at launch and during his 6 years at the business it grew into a £350m revenue business.
Nick Sherman is a marketing and design leader who uses his experience as a storyteller to bring teams together, increase creativity, and explore solutions to the most important problems. He excels in assembling teams that create high value multimedia content, incorporating the latest trends in filmmaking, animation, graphic design, and code. He takes a human-centered approach to design, and has worked extensively on User Experience in the fields of artificial intelligence, augmented reality, and autonomous driving.
An award-winning documentary filmmaker and screenwriter, his work combines his passion for philosophy and design to help people better understand the human experience.
VP Applied Machine Learning
Dr Davide Zilli's background is in applied machine learning. He worked on pollution sensing while he was a visiting scholar at the Massachusetts Institute of Technology, and has published research on bioacoustics and machine learning for citizen science.
Upon completion of his doctorate, he joined the Machine Learning Research Group at the University of Oxford, working on the acoustic detection of malarial mosquitoes. When Mind Foundry was spun out of the University, he joined in the position of Machine Learning Research Scientist, focusing primarily on time series analysis. He now works with clients to drive the highest business impact from the Machine Learning adoption journey.
Jane Williams is an experienced, highly focused, results-driven professional with extensive management experience across operational roles. Her experience spans both academia & industry; start-ups, non-profit organisations, finance, automotive and oil & gas sectors.
As Head of People Operations at Mind Foundry, her role is to focus on key areas of the business, our people and our culture. This includes ensuring the company’s values are intrinsic in everything we do and that Mind Foundry nurtures an environment of empowerment, education, curiosity, innovation, and scientific rigour.