Boyu Wang

Dr. Boyu Wang is an AI/ML professional and educator with more than 15 years of experience building and scaling enterprise-grade intelligent systems across leading tech companies and Fortune 50 environments. He has experience leading AI teams, driving product innovation, and supporting growth from early traction to large-scale adoption.

With a Stanford PhD, Dr. Wang has worked hands-on across LLMs, AI agents, ADAS, MEC, IoT, recommendation systems, and DMP. He is committed to teaching, mentoring, and sharing knowledge in AI, and has deep experience delivering enterprise-grade AI/ML solutions.

• Artificial intelligence
• Machine learning
• Econometrics
• Large Language Models (LLM) and AI agents
• Time series modeling

• Artificial intelligence
• Machine learning
• Large Language Models (LLM) and AI agents
• Reinforcement learning 
• Econometrics

• Stanford University, PhD in Computational and Mathematical Engineering, 2012

• Hong, Han, Weiming Li, and Boyu Wang. “Estimation of Dynamic Discrete Models from Time Aggregated Data.” Journal of Econometrics 188, no. 2 (2015): 435–446.
• Wang, Boyu. “A Paradigm Shift for Consumption-Based SaaS Sales Productivity Through Embedding, Reinforcement Learning, and LLM.” NABE Technology Economics Conference (TEC), 2023.