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 the CEO of Mind Foundry and has been at the forefront of how technology can positively change people’s lives throughout his career.
Brian has over a decade of experience in high-growth technology companies across industries such as Artificial Intelligence, Augmented Reality, and Robotics. He has been awarded over 100 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 selected as one of Goldman Sachs “100 Most Intriguing Entrepreneurs."
Stephen Roberts is the Royal Academy of Engineering / Man Group Professor of Machine Learning at the University of Oxford. His work has shaped our understanding of what is possible with AI, and had a broad impact in the fields of astronomy, biology, healthcare, finance, engineering, control, sensor networks, and system monitoring.
Stephen’s insight lies 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 his approaches to assist in exoplanet discovery, human-agent coordination, sensor network monitoring and tracking the spread of deadly diseases.
Professor Michael A Osborne is 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 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.
Matt Arnold is a highly experienced financial leader, with a passion for software engineering and technology, holding an MSc in Information Engineering from the University of Cambridge. He was previously Managing Director at Goldman Sachs in Strategic Investing and Fixed Income, where he built novel pricing models, analytics, and workflow tools.
Before joining Mind Foundry, Matt was a founding Principal at Oxford Science Enterprises, where he helped Oxford University spinouts such as PQShield, Bibliu, Diffblue, OxfordVR, Ultromics, HEXR and Osler turn their research into scalable businesses.
Anna Oosthuizen-Roe has been working within the People realm for over a decade, having focused her career on high-growth startups. Joining Wise when it was an early-stage company and helping it scale from 100 to 1000 employees, she then went on to join Houst and TransferGo, running their people functions through their global growth.
She thrives off helping organisations attract, develop and retain the best talent whilst building a culture and experience that scales with the company. As our Chief People Officer, 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 we nurture an environment of empowerment, education, curiosity, innovation, and scientific rigour.
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.
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.
Al Bowman is Mind Foundry’s General Manager of Defence & National Security, where he works alongside our partners to deliver cutting-edge AI solutions. Al has over 25 years of experience in both AI and military operations following his many years of service in the Armed Forces, before more recently working in organisations such as Dataminr and Deloitte. With this wealth of technological and industry expertise, Al drives the delivery of our innovative AI solutions, helping enterprise organisations detect and manage risk.
He uses this experience to lead Mind Foundry’s Defence & National Security team to work alongside our partners to apply cutting-edge AI solutions to the most complex and challenging problem spaces.
James is Mind Foundry’s Engineering Director, where he leads the technical development and implementation of Mind Foundry’s solutions. From the early days of release engineering to the cutting edge of using modern DevOps tools and techniques in the cloud, James has specialised in designing and implementing software systems that accelerate developer workflows and help release the value of code at high velocity.
James has built and led teams that tackle hard problems for a diverse array of applications and user experiences, from distributed scientific software platforms to smart heating systems, large-scale telecommunications networks and connected therapeutic devices for brain injury patients. In his previous role leading the cloud engineering effort at Cambridge Consultants, James developed a particular interest in the challenges, such as model traceability, validation and governance, that are unique to engineering software with a significant machine learning component.
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