Summary
Chi Qiao is a Senior Data Scientist with 7 years of experience applying machine learning, stochastic modeling, and extreme value analysis to high-impact engineering problems. With a PhD in Civil Engineering, Chi developed novel deep-learning and probabilistic methods to predict hurricane-driven ocean hazards, synthesizing 200+ buoy records and 40 years of storm data to inform offshore wind risk and design. He has translated research into practice as an analytics engineer at WindESCo and now at Cambridge Mobile Telematics, balancing theory-driven models (MATLAB/R) with production-ready Python solutions. Chi’s work includes HPC-scale simulations and a MATLAB package for multivariate extreme analysis that materially improved projection accuracy, reflecting his knack for turning messy measurement data into robust, actionable forecasts. Based in Boston, he combines hands-on engineering, signal-processing experience from wearable health projects, and a persistent interest in building both physical and virtual systems.
7 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Civil Engineering, Doctor of Philosophy (Ph.D.) Civil Engineering at Northeastern University
Master of Science - MS Naval Architecture and Marine Engineering, Master of Science - MS Naval Architecture and Marine Engineering at Shanghai Jiao Tong University