We are a public benefit corporation with a mission to scale Reinforcement Learning and advanced AI technology. Built on our own research and engineering, our platform and scientists use models to predict clinical and behavioral outcomes and deliver adaptive interventions based on data generated by digital applications and devices along with other contextual information. These interventions are distributed directly to users through digital tools such as personalized recommendations, reminders, incentives, or integrated content and workflows within the applications. Our goal is to ensure that each intervention is not just effective but also specifically tailored to the needs and circumstances of each user
Causal Foundry is a research and deployment company that aims to transform global equity to create a future where AI benefits everyone. Our work culture is fast-paced and intensely focused, emphasizing individual responsibility and team collaboration. Our commitment to rigor ensures we develop top-tier technology
Our company is committed to retaining only the most effective individuals. Our team comprises high-achievers who excel in their respective fields and consistently push the boundaries of what's possible in AI. By surrounding ourselves with extraordinary talents, we create a dynamic and stimulating workplace where innovation thrives
In our team, performance and impact matter the most. Being part of the team is about delivering results and making contributions, with the understanding that roles may evolve
We value transparency and integrity, ensuring open communication and trust as the foundation of our collaboration
Our work culture prioritizes precision, intensity, and speed, enabling us to develop cutting-edge technology with unmatched rigor
By blending individual responsibility with team synergy, we create a dynamic environment where top talent pushes the boundaries of AI innovation
We foster a culture where only the most effective individuals thrive, delivering results that drive meaningful impact
Our diverse team draws on a wealth of experience in healthcare, business, and technology. The team takes pride in bringing themselves into the heart of each project to get a better understanding of the challenges our pharmacies and clients face. They work closely with their teams to find innovative ways to overcome the challenges presented as they strive to transform the pharmacy practice through technology

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

With over 20 years of experience in data science and statistical modeling, Ana has worked across sectors from fashion to climate science and gaming. At Inditex, she led demand forecasting and supply chain optimization, and earlier contributed to operational hybrid data assimilation system for numerical weather prediction and advanced satellite data assimilation at the German Weather Service. She later applied behavioral modeling to the Japanese video game industry. Ana holds a PhD in Science, MSc degrees in Statistical Physics of Complex Systems and Theoretical Physics

Aditya is a Machine Learning Engineer focused on predictive modeling and reinforcement learning, both research and production. Before joining Causal Foundry, he worked at benshi.ai and Accenture Japan, where he applied AI to complex data environments and automation workflows. He has also previously held research and engineering roles at Goldman Sachs and the University of British Columbia. He holds Bachelor’s and Master’s degrees in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur

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 the Skolkovo Institute of Science and Technology. His previous work spans academic and industrial collaborations with Huawei, Bosch, Airbus, and Sber. He won the First Prize in the NeurIPS 2021 NetHack Challenge, recognizing his expertise in reinforcement learning and complex agent-based environments

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 Causal Foundry, 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 and scalable software systems. He holds a Dual Degree (B.Tech + M.Tech) in Computer Science from the Indian Institute of Technology, Kharagpur (IIT-KGP)

Abigail is a senior designer with two decades of experience shaping products, brands, and digital experiences. At Causal Foundry, she leads design strategy and execution, creating intuitive, human-centered interfaces that make advanced AI systems both elegant and accessible. A graduate of BAU, Centre Universitari d’Arts i Disseny — one of Spain’s leading design schools — Abigail has worked across branding, UX/UI, and art direction, consistently blending visual clarity with purpose-driven innovation

Juan Francisco is a researcher and engineer with extensive experience in operations research, data science, and artificial intelligence. He holds, BSc, MSc in Computer Science and 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

Mateo is a medical doctor with MPH in Harvard that works as Health Systems Data Scientist. Mateo is a global health practitioner and is also affiliated with Harvard University's Takemi Program in International Health. Previously, he has worked with governments, NGOs, and academia across LATAM and Africa to strengthen health systems and evaluate public health programs


