Summary
Yuankai Teng is a Quantitative Analytics Specialist with nine years of experience applying advanced ML and DL techniques to financial risk and fraud detection, currently building ML-driven financial crime models and scalable model monitoring at Wells Fargo. He brings a strong academic foundation as a PhD candidate in Applied & Computational Mathematics and a track record of blending research with production, from differentiable rendering work at Tencent Americas to consumer credit modeling internships. His recent work leverages Pseudo Reversible Neural Networks, Graph Neural Networks, and LLMs to detect complex anomalous behaviors, emphasizing regulatory compliance and long-term model integrity. Based in Atlanta, he combines deep mathematical rigor with practical engineering, often translating novel research ideas into auditable, enterprise-grade solutions. An understated strength is his cross-domain fluency—bridging academic research, real-time engineering, and financial regulation—to operationalize cutting-edge AI in high-stakes environments.
9 years of coding experience
2 years of employment as a software developer
Bachelor, Information and Computing Science, Bachelor, Information and Computing Science at Wuhan University
Doctor of Philosophy, Applied & Computational Mathematics, Doctor of Philosophy, Applied & Computational Mathematics at University of South Carolina