Welcome!
I’m Tomomi Tanaka, an economist, AI strategist, and technical program leader working at the intersection of artificial intelligence, behavioral science, safety, and large-scale decision systems.
My work spans machine learning, AI safety, user behavior analytics, experimentation, and generative AI evaluation across technology platforms, digital products, and public-sector systems.
I currently serve as:
- Founder of Behavioral AI Lab
- Adjunct Professor at Kindai University
- Senior Behavioral Science Advisor at BEworks
At Behavioral AI Lab, I focus on the intersection of AI, behavioral science, and decision systems, exploring how AI systems influence human behavior, trust, safety, and real-world outcomes.
At BEworks, I support behavioral science and AI-related initiatives, including projects focused on digital products, experimentation, and AI adoption.
Previously, I held leadership roles across academia, international organizations, and the technology industry, including:
- Director of Safety by Design at Match Group
- Senior Technical Program Manager at Amazon
- Principal Technical Program Manager at Oracle
- Senior Economist at World Bank
- Assistant Professor at Arizona State University
- Specially Approved Associate Professor at Keio University
My background across economics, behavioral science, AI systems, and product strategy allows me to approach complex problems from both technical and human perspectives.
Areas of Focus
My work focuses on designing and evaluating AI systems that align with how people actually decide, trust, and behave in real-world environments.
Key areas include:
- Machine Learning and Predictive Modeling
- User Behavior Analytics
- AI Safety and Responsible AI
- Generative AI Safety
- Behavioral Economics and Decision Design
- Experimentation and Causal Inference
- Human-AI Interaction
- Trust, Safety, and Risk Evaluation
I am particularly interested in how AI systems influence human behavior, decision quality, trust, and digital safety outcomes.
Research and Industry Experience
My current research explores the intersection of generative AI, behavioral manipulation, fraud detection, and AI evaluation. Recent projects include large-scale analysis of cryptocurrency romance scams and comparative benchmarking of large language models across multilingual behavioral datasets.
At Match Group, I launched and led Safety by Design initiatives across multiple large-scale digital platforms, integrating safety considerations into product development and AI-enabled systems.
At the World Bank, I led econometric and machine learning projects related to poverty measurement, labor markets, geospatial analysis, and private sector development.
At Amazon, I worked on large-scale decision systems and AI-driven optimization projects, including Bayesian adaptive conjoint analysis for employee benefit design.
I have also completed advanced training in Oracle Cloud Infrastructure (OCI), including cloud architecture, AI-ready infrastructure, security, observability, and enterprise AI deployment environments.
Publications and Recognition
My research has been published in leading academic and professional outlets, including:
- Harvard Business Review
- American Economic Review
- The Economic Journal
I have also delivered talks and workshops on AI safety, responsible AI, and behavioral science at international organizations including the United Nations.
Awards and recognitions include:
- Enjoji Jiro Memorial Prize (Nikkei)
- Nikkei Woman of the Year
Let’s Connect
I’m always interested in discussions and collaborations related to AI, behavioral science, machine learning, digital safety, and decision systems.
Whether you’re exploring new ideas, building AI-driven products, conducting research, or interested in potential collaborations, feel free to reach out.