Pavel Kireyev.

I worked on the first wave of machine learning entreprise adoption (in Tokyo / Boston) and channel my practical experience into research, development, and education on digital platforms, AI strategy, data and decentralized markets. I've managed talent-dense teams of experts in ML (computer vision, recommenders, pricing), data engineering, and microeconometrics on ambitious projects both in industry (entreprise / frontier startups) and academia (top business schools).

I hold a doctorate from Harvard Business School, an MA Statistics from Yale, and BSc from LSE. I taught AI Strategy in MBA, ExecEd and Causal Machine Learning in the PhD program at INSEAD (France / Singapore), Product Analytics at LSE (UK), was early and started the Asia office at QuantCo out of Harvard, and helped start Onaji in Tokyo. I've produced some of the earliest cases on frontier AI labs (PFN in Japan in 2019) and written about new decentralized technologies in the Harvard Business Review.