Summary
Bingbing Rao is a VP-level engineering leader with over a decade of experience building scalable credit analytics platforms and research-grade machine learning systems. Currently leading the Wholesale Credit Library at State Street, she previously designed and delivered configurable loss and foundation models (LGD/PD/CCF/FIU) and a model unit testing framework at Citi to support CCAR/IFRS9/ICAAP workflows. Her background blends deep academic researchโPhD work and multiple publications on graph models, Transformer and GNN techniquesโwith hands-on systems engineering from Linux kernel drivers to distributed Spark and model-parallel pipelines. She has a track record of turning novel ML research into production tools, including an inertial-navigation Transformer published at AAAI and a privacy-preserving GAN synthesizer adopted across projects. Based in New Jersey, she combines rigorous program-analysis and compiler techniques with practical optimization of large-scale systems, making her adept at bridging research, engineering, and regulatory model needs.
10 years of coding experience
Bachelor in Science Electrical and Electronics Engineering, Bachelor in Science Electrical and Electronics Engineering at Wuhan University of Science and Technology
Bachelor in Arts Public Administration (Minor), Bachelor in Arts Public Administration (Minor) at Huazhong University of Science and Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Central Florida