An innovation entrepreneur, founding investor in DeepMind with a record in revolutionising trading in steel sector and now changing the way we transact and travel.

Producer of the successful a-life Creatures series of games and early developer at Deepmind. His thirty years’ experience in software, ten as a CTO, are now focussed on crypto-economics.

Professor at Sheffield and established scientist in advanced machine learning AI who bridges real world and academia and is inspired by the opportunities AI brings to modern society.

A researcher in machine learning, complex systems and blockchain technology. Excited by the challenge of deploying decentralized multi-agent systems in smart cities, supply chain and healthcare. PhD in Machine Learning from UCL.

A scientist and innovator, that benchmarked D-Wave Two, co-authored 35 patent applications who has been working more than two years full time building distributed ledgers.

Experienced in managing strategic program delivery, business development and the application of state-of-the-art ICTs. Worked at Oracle and at Europe’s e-infrastructure GEANT collaborated with flagship pan-European research groups and e-infrastructures.

International experience in software start-ups and bringing disruptive, high-growth tech products to commercial success. MBA from Judge Business School, University of Cambridge.

An enthusiastic software engineer and trained scientist with an MSc in statistical and particle physics. He previously worked on numerical hydrodynamics, particle physics data analysis and various machine learning projects.

Research engineer in machine learning with experience developing deep reinforcement and generative models, solving problems in digital health, audio/video media and NLP. PhD developing computational auditory models from University of Surrey.

Experienced software engineer and scientist. Previously worked at Bloomberg and Siemens Corporate Research. MSc in Solid State Physics and PhD in High Temperature Superconductors.

NLP and data mining specialist in geolocation, natural language and IoT. Ex-PlayStation developer with an MSc in Advanced Computer Science from the University of East Anglia.

A seasoned software engineer and architect with experience in dynamics simulations, low-level protocols, 3D graphics and virtual machines. He has a strong artificial life and mathematics background.

A engineer, researcher and technology enthusiast with experience of distributed ledgers, video codecs, networking and low level software optimisation. Strong engineering and mathematical background, he obtained his degree in Electronic Engineering from University of Surrey.

Experienced software engineer and FPGA specialist, previously worked at BAE in high speed communications systems. MEng from The University Of Edinburgh.

Software engineer with a love of simplicity and a passion for building elegant products. He has a master’s degree in Chemistry from Oxford University and previously worked on Big Data web applications and ultra-low latency display drivers.

Ex-Google SRE and Privacy engineer, she has also worked with Citrix, Hitachi and Grapeshot. Highly experienced in many fields including security systems, military simulations and real-time data-processing pipelines.

SIMD Specialist, long time Debian Developer and Eigen contributor (ARM, POWER, S/390 SIMD ports). Worked on low level video codecs & DPI SIMD software optimisations. Studied physics at the University of Athens.

An experienced DevOps engineer constantly learning and exploring new ways to solve today’s technical challenges and remove friction throughout the development and deployment pipeline.

A computer developer with specialisation in games’ production. He has a passion for programming and producing innovative projects. He has a BA in Informatics and Telecommunications and a Diploma with honors from SAE Institute in Game Production. He is passionate about programming and creating innovative projects by leveraging cutting-edge technologies and engines.

A software engineer and machine learning enthusiast with experience in many fields including image and data processing, evolutionary algorithms and low-level protocols.

Theoretical physicist and machine learning scientist. Marcin's doctoral research explored topics on coherence and emergent behaviour in quantum systems. His current work focuses on machine learning applications for modelling autonomous economic agents in distributed ledgers.

Senior engineer and technical manager with 20 years of industry experience. In 2000, he led the game programming team on the world-wide best selling title, The Thing. He then moved to Sony where he built up a research group developing computer vision algorithms, which formed the basis of a number of internationally successful augmented reality PlayStation games.

M.Sc.Eng. in Computer Science from Sapienza University of Rome, where he worked on a thesis in Reinforcement Learning. Software Engineer with solid programming skills, he's working on the OEF.

Associate Professor in Computer Security at University of Birmingham with 15 years of experience in applied cryptography research, both in academy and industry. His work has been published in top academic venues in computer security and has been deployed by governments around the globe.

Combining expertise in both machine learning and economics with an MSc Computational Statistics and Machine Learning from UCL and previous experience at the Swiss National Bank.

Expert on Multi-Agent Systems and logical modelling with a background in software engineering. PhD and MSc in Artificial Intelligence from King's College London with excellent academic track record and publications in AI conferences and journals.

Implementing large scale multi-agent systems with ML algorithms with nearly 20 years’ experience following a first degree in Software Engineering and a PhD in Artificial Intelligence.

Researcher and entrepreneur, combining game theory expertise with engineering and product experience in machine learning and blockchain. He has a PhD in Economics/Applied Game Theory from Cambridge University and startup-founding experience through Entrepreneur First.

Researcher in behavioural, experimental and computational economics, applying game theory to the economics of networks and the design of decentralized marketplaces. PhD in AI from the University of Toulouse.

Worked previously as a researcher in theoretical physics and mathematics with an interest in technical aspects of blockchains. She holds a PhD in string theory from King’s College London.

A qualified journalist with a passion for social media. He has five years of experience at Sky News and BT Sport and has managed the social media accounts of Panama’s largest language school.

A HR generalist with extensive experience within the retail and tech sector after working for River Island and Nokia Technologies. A highly motivated problem solver and a passionate people person.

A video director and producer, passionate about creating engaging content. Since graduating from Cambridge School of Art, he has worked on a range of video projects for local and national clients.

Dynamic people person with a wealth of commercial experience and a wonderful understanding of maximising peoples' potential. Driven and focused, with humour and respect for everyone she meets. Principled and determined to make the world better. Now bringing a sprinkle of amazing to the Fetch.AI team.

Passionate scientist and communicator with a data-focused approach to marketing. Experienced in creating compelling content and delivering campaigns in a startup environment.

A recruiter with over 15 years’ experience in technology recruiting. Passionate about technology and who enjoys working closely with engineers to identify high calibre talent. MBA from The University of Miami.

A multi-talented IT Manager with over 15 years experience. Well-versed at supporting fast moving, dynamic development teams. Previously designed, implemented and managed an onsite data-centre running a massively multi-player online game for the BBC.