Kate Harwood is an NLP consultant and software engineer with a decade of experience applying machine learning to real-world problems, from misinformation detection at Columbia NLP Lab to integrating large language models into The New York Times' products. She pairs strong research credentials—coauthoring an ACL Findings paper on COVID-19 fact-checking and contributing to a PNAS repository—with hands-on product engineering at Google and startups, shipping features used by millions. Kate focuses on fairness and bias mitigation in ML and has translated that into applied work synthesizing patient narratives and teaching AI to diverse learners. Based in New York, she blends technical depth in NLP and systems with a knack for communicating complex ideas to students, journalists, and stakeholders. An avid learner who mentors high school researchers and runs large classroom labs, she brings curiosity and human-centered thinking to every project.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science Cognitive and Brain Sciences, Bachelor's degree Computer Science Cognitive and Brain Sciences at Tufts University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
Contributions:6 PRs, 187 pushes, 14 branches in 4 months
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Kate Harwood - NLP Consultant at The Coding School