Summary
Zhebiao Cai is a quantitative researcher and research assistant with 11 years of experience at the nexus of applied probability, stochastic modeling, financial engineering, and mechanism design, currently focused on decentralized finance and systemic risk at Columbia Engineering. He blends strong software skills—Android, server development, React—with hands-on quantitative work, from modifying t-SNE for temporal stability to developing high-frequency trading modules and TCN-based stock predictors. His background spans practical fintech engineering (FPGA market-data acceleration, blockchain encryption and ZKP patents) and academic research (accepted IEEE SmartCloud paper on identity verification), enabling him to move smoothly between prototype systems and rigorous analysis. Known for improving temporal consistency in embeddings and creating low-correlation alphas, he brings a data-driven, systems-aware approach to complex financial and matching problems in New York.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Technology, Bachelor of Science - BS, Computer Science and Technology at Fudan University
Master of Science, Financial Engineering, Master of Science, Financial Engineering at Columbia University
High School Diploma, High School Diploma at Shanghai High School