África is an AI scientist and entrepreneur. África held the role of Chief Analytics Officer at Inditex, leading the AI strategy and bolstering one of the world's fastest supply chains. Previously, she founded Yokozuna Data, an AI firm based in Tokyo to transform videogame industry. África holds a PhD in Mathematics from the University of Reading and Master's degrees in String Theory and Theoretical Physics from CERN and UAM. She served as a Marie Curie EU research fellow at CERN and worked as a scientist at RIKEN and the German Weather Service.

Dexian is a software engineer, previously a senior engineer at Inditex. His prior role in Tokyo, involved scaling data pipelines and AI processes in the video game industry. Dexian has a background in electrical engineering, researching at the Okada Lab in the Tokyo Institute of Technology, resulting in several publications and an Excellence Award from the IEICE Electronics Society. He holds an MEng in Electrical Engineering from the Tokyo Institute of Technology and a BEng from the University of Electronic Science and Technology of China.

Sumiko manages partnerships and operations to support the mission of advancing AI for all. Her career in international relations began during her undergraduate studies at the University of Washington, leading to a UN internship in New York and a dual master's degree in diplomacy and strategic negotiations in Paris. She has supported international organizations across Africa, Asia, and Latin America and spent eight years in leadership roles at a company serving global health-focused nonprofits.

Yuko leads business development and strategic partnerships across Japan and the Asia-Pacific region. Before joining, she held senior roles at Genvid Holdings, ThunderSoft, Silicon Studio, and Arm, where she directed business expansion and technology partnerships in gaming, visualization, and embedded systems. Based in Tokyo, she brings over a decade of experience driving cross-sector innovation at the intersection of advanced technology and emerging markets.

Eric is a seasoned partnerships and business development leader with over a decade of experience advancing healthcare innovation across Africa. Before joining, he was part of the establishment of Medtronic Labs’ digital health startup, scaling chronic care programs to six countries and reaching over one million patients. He has secured over $10 million in funding and built transformative partnerships with ministries of health and global organizations to strengthen the prevention and control of non-communicable diseases.

Ana combines data and mathematics to understand and predict human behavior and health system dynamics. With over 20 years of experience in machine learning, statistical modeling, and complex systems, she holds a PhD in Science and advanced degrees in Theoretical and Statistical Physics. Before joining, she led data science research at benshi.ai and Inditex, applying AI to healthcare and behavioral modeling.

Aditya is a machine learning engineer specializing in predictive modeling and reinforcement learning for healthcare applications. Before joining, he worked at benshi.ai and Accenture Japan, applying AI to complex data environments and automation workflows, and previously held research and engineering roles at Goldman Sachs and the University of British Columbia. His work focuses on translating advanced statistical modeling into scalable solutions for global health challenges.

Moiz Hassan, a Senior Software Engineer at Causal Foundry, leads mobile apps and SDK development. With over 8 years in the industry, his background primarily involves developing and scaling digital platforms for low- and middle-income countries, with a strong focus on ensuring usability and reliability on low-end smartphones/devices. With a background spanning health, supply chains, and community engagement, he brings together collaboration and technical rigor to deliver solutions that advance access, efficiency, and equity.

Andrés is a full stack engineer with over a decade of experience in software architecture, frontend and backend development, and systems integration. Before joining, he led development teams at benshi.ai, CENTUM Research & Technology, and Quobis, building and scaling real-time data and communication platforms. He brings deep expertise in designing high-performance systems that power AI-driven health applications.

Ivan is a machine learning scientist with more than 15 years of experience in data science and applied research across deep learning, signal processing, and reinforcement learning. He holds a PhD in Applied Mathematics and Computer Science from Skolkovo Institute of Science and Technology, with research in model sparsification and variational dropout for complex-valued networks. His previous work spans academic and industrial collaborations with Huawei, Bosch, Airbus, and Sber.

Ruth is an experienced operations and people manager with over a decade of experience across startups, NGOs, and corporate environments. She leads People and Operations, overseeing grants, stakeholder engagement, and the development of scalable internal systems. Passionate about social impact and AI innovation, she focuses on building the structures that enable global teams to deliver transformative health technologies effectively.

Paulo is an economist and data scientist with expertise in econometric theory, quantitative modeling, and predictive analytics. He holds a Ph.D. in Economics from the University of Colorado Boulder and an M.S. from Oregon State University, with research published in Econometric Reviews, Regional Science and Urban Economics, and Communications in Statistics. Fluent in English, Portuguese, and Spanish, he builds interpretable models that bridge analytical rigor with practical decision-making.

Babaniyi holds a first-class honours degree in Mathematics and Statistics and a Master's in Quantitative Economics from the University of Paris 1. His work focuses on democratizing reinforcement learning and adaptive interventions to personalize medicine and improve patient outcomes. Previously, he contributed to analytics and behavioral modeling projects at Benshi.ai, The Alchemist Atelier, and ZF Group, and is passionate about mentoring young professionals.

Nitesh is a back-end engineer with expertise in automation systems, cloud infrastructure, and API development. Before joining, he worked at Accenture Japan, where he led automation and generative AI projects to optimize testing and platform performance. His experience spans AWS, Node.js, and systems architecture, with a focus on building efficient, scalable software systems.

Mateo is a medical doctor and global health practitioner, also affiliated with Harvard University's Takemi Program in International Health. He has worked with governments, NGOs, and academia across LATAM and Africa to strengthen health systems and evaluate public health programs. His work has secured over $1.5 million in funding for Indigenous and environmental health initiatives and has been published in leading journals on health systems resilience and global health equity.

Juan Francisco is a researcher and engineer with extensive experience in operations research, data science, and artificial intelligence. He holds a Ph.D. in Computer Science and Mathematical Modeling and has co-authored more than 30 peer-reviewed publications and three patents in image and video processing. His career spans academia and industry across Europe, applying machine learning and computer vision to healthcare and digital innovation.