Runzhe Wan

I am currently an Senior Applied Scientist at Core AI, Amazon. I obtained my Ph.D. degree in Statistics at North Carolina State University, advised by Dr. Rui Song. Previously, I received my B.S. in Mathematics from Fudan University, China in May 2017.

My current research interests center around optimal decision-making under uncertainty. Such a decision may have long-term impacts, need to be personalized, and can be evaluated/learned either during online interactions or from offline data. I am passionate to develop powerful and robust frameworks to evaluate and optimize our decisions and policies, with reliable statistical guarantees and efficient numerical algorithms. Accordingly, I have broad interests in Causal Inference (inc. Causal ML), Optimal (Personalized) Decision Rule, and Online/Offline Bandits & Reinforcement Learning.

At Amazon, I am collaborating with multiple product teams on inventing and productionizing advanced causal and RL/bandits methodology to revolutionize critical systems that have direct impacts on Amazon business. My current projects are related to the inventory management system, delivery speed system, markdown algorithms, product selection, and experimentation platforms, etc.