Summary
Ting Qian is a method-focused data scientist and leader with 11 years of experience blending advanced Bayesian modeling, probabilistic inference, and applied machine learning to uncover hidden structure in complex behavioral and clinical data. As President of FindingFive she leads a cross-functional team building a vertically integrated online behavioral research platform, pairing hands-on full-stack and deployment experience with academic rigor from PhD-level teaching at Princeton. Trained as a computational cognitive scientist (PhD, Brain and Cognitive Sciences), she specializes in clustering and generative-model inference and is actively exploring GPU-accelerated Bayesian methods to enable real-time streaming inference. Comfortable bridging research and product, she prefers roles that tackle hard inferential problems rather than implementing off-the-shelf ML, and she continues to mentor and teach while advancing practical statistical tooling.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Brain and Cognitive Sciences, Doctor of Philosophy (Ph.D.), Brain and Cognitive Sciences at University of Rochester
Cognitive Science, Cognitive Science at State University of New York at Oswego
English, Chinese