Scientists and strategists who have operated at the frontier of AI — and now apply that expertise to enterprise transformation.
The founding team that built AI Theoria's research-to-deployment methodology.

Chief Executive Officer & Co-Founder
Former Chair of AI Research at MIT, Dr. Hayes has published over 80 peer-reviewed papers in machine learning and holds 30+ patents in applied AI. His research on sample-efficient reinforcement learning and multi-modal foundation models is widely cited in the field. Before founding AI Theoria, he led a 45-person research group at MIT that produced multiple systems now deployed at scale in healthcare and financial services. Dr. Hayes holds a PhD in Computer Science from Stanford University and advises the National AI Safety Institute.

Chief Research Officer & Co-Founder
Dr. Tanaka served as a principal scientist at Microsoft Research Asia before joining AI Theoria. She holds a PhD from the University of Tokyo and is recognized as one of the leading specialists in AI safety and alignment research. Her work on formal verification of neural networks and interpretability frameworks has been adopted by three major AI labs. At AI Theoria, she leads the AI Safety practice and oversees all research publications and patent filings.

Managing Director & Co-Founder
Marcus brings 15 years of AI strategy advisory experience to AI Theoria, including a partnership role at McKinsey's Global AI Practice where he led AI transformation programs for eight Fortune 500 companies. His expertise in translating technical AI capabilities into measurable business outcomes bridges the gap between the research team and enterprise clients. Marcus holds an MBA from Wharton and a BS in Computer Engineering from Georgia Tech. He has been named to Forbes' list of top AI business advisors.
Doctoral-level researchers embedded across client engagements and university partnerships.
Senior Research Scientist — NLP
PhD MIT. Expert in large language models and retrieval-augmented generation systems.
Research Scientist — Computer Vision
PhD CMU. Specializes in medical imaging AI and multi-modal learning architectures.
Research Scientist — Reinforcement Learning
PhD UC Berkeley. Focus on offline RL and policy optimization for industrial control systems.
Research Scientist — AI Safety
PhD Oxford. Works on interpretability, mechanistic analysis, and red-teaming methodologies.
MLOps Lead Engineer
Former Google Brain infrastructure engineer. Designs production ML pipelines for enterprise at scale.
Research Scientist — Generative AI
PhD EPFL. Expert in diffusion models and controllable generation for professional applications.
AI Theoria regularly recruits doctoral researchers, postdoctoral fellows, and experienced ML engineers. We offer competitive compensation, publication support, and the opportunity to work on research that reaches production at Fortune 500 scale.
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