We bring together the world’s best scientists, engineers, design-thinkers and more to tackle the most challenging problems across numerous industries.
We’re an international team from all walks of life, unified in our desire to be innovators, changemakers and helpful stewards of AI as it begins to shape our world for years to come.
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 25,000 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.
Professor Michael A Osborne is the Dyson Associate Professor in 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 broader societal consequences of machine learning and robotics. His work on the significance of machine learning and robotics to future labour markets has impacted government policy and been featured in major media outlets.
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-centred 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.
Mary Catherine DiNunzio is an intellectual property and corporate attorney with 25+ years of experience. She is admitted to practice law in New York and New Jersey and is a registered solicitor in England and Wales. She has an undergraduate degree in chemistry and worked as an examiner at the US Patent and Trademark Office while attending George Washington law school in the evening.
She has always worked in the tech sector advising pharmaceutical, biotechnology and most recently tech companies on how to make the best use of their technology.
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.