Yan is a qualitative and quantitative experience researcher with fifteen years of turning messy questions into clear choices. His work resulted in a $6.2 million increase in quarterly savings at JPMorgan Chase. and a 12% improvement in student enrollment at a client university of Wiley Education. At Segment International Collective, he is the specialist for large language models, computer vision, and quantitative work. He is tapped for deep problem-solving.

Grounded in anthropology and statistics, Yan has led research for Fortune 100 companies and global organizations, including American Express, the United Nations, Ford, T-Mobile, and DHL. In AI, he ran the Amplinate feasibility study, a copilot for user researchers. He studied founders and product managers and relayed insights that shaped ProductPartner.ai’s first release. Yan also led human-factors research for a UN computer-vision body scanning app, making the process comfortable for 100,000 people and reducing measurement time from 45 minutes to 42 seconds.

Yan is trilingual in English, Russian, and Hindi. He runs studies in English and Russian and brings a culturally informed perspective to complex markets. He works alongside the people he studies, in their language and setting, and delivers qualitative understanding to quantitative data. He also extends qualitative data by seeing if it represents broad trends that apply to populations.

Yan lives in Hawaiʻi. He mentors researchers, co-hosts the Human-Centered AI podcast, and moderates the AUX Slack community. For fun, he spends time with his wife, swims in the ocean, lifts weights, reads fantasy and sci-fi books, heavily mods games like Skyrim, and listens to tech-and-society podcasts.