Summary
Cate Dunham is a data scientist in Boston with nine years of experience applying machine learning to real-world problems across computer vision, transportation, and human-AI teaming. She has built production-ready models for real-time joint-angle prediction in exoskeletons, novel clustering approaches for high-dimensional time series, and transformer-based toxicity classifiers for conversational agents. Prior leadership as a retail store manager informs her collaborative approach to product-focused ML, recruiting and uniting teams to turn experimental methods into deployable solutions. Trained at WPI in AI/ML, she combines rigorous research instincts with a curiosity about the “invisible patterns” in everyday life—whether mapping human movement or modeling social dynamics.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA, Criminal Justice, 3.6, Bachelor of Arts - BA, Criminal Justice, 3.6 at Green Mountain College
Master of Science - MS, Data Science (AI and ML specialization), Master of Science - MS, Data Science (AI and ML specialization) at Worcester Polytechnic Institute