Summary
William Cox is a data scientist with 15 years of hands-on experience building large-scale machine learning and signal-processing systems across industry and research. He has led teams and shipped production real-time classifiers for bot detection and biometric signals at scale, and now applies his expertise to investment insights at Sequoia Capital Global Equities. Trained as a PhD electrical engineer, his background spans underwater optical communications, FPGA/Verilog implementations, and adaptive classifiers — a blend that gives him deep intuition for noisy physical signals and high-throughput software pipelines. William is pragmatic and hands-on, comfortable architecting serverless, streaming, and low-latency systems (AWS Lambda, Kinesis, DynamoDB) while still coding core algorithms in Python and MATLAB. He pairs academic rigor with product-focused delivery, having moved from lab prototypes (optical modems, PMT receivers) to production ML platforms that serve hundreds of endpoints.
14 years of coding experience
11 years of employment as a software developer
The Hong Kong Polytechnic University
PhD Electrical Engineering, PhD Electrical Engineering at North Carolina State University