Summary
Haylee Ham is a Staff Data Scientist with 11 years of experience building production-ready models and large-scale data systems, currently leading data science efforts at Mission Lane. With a master's in Computational Social Science from the University of Chicago, she blends causal and NLP methods to measure interaction effects, build mentor-matching and negotiation bots, and deliver analytics used by thousands at Harvard Business School. Her background spans terabyte-scale PostgreSQL engineering, transfer learning, and product-focused research from roles at the Laboratory for Innovation Science at Harvard and Becker Friedman Institute. She founded and organized the Boston chapter of Women in Machine Learning & Data Science, reflecting a commitment to community building and mentoring. Based in Palo Alto, she pairs research rigor with practical deployment experience in fintech and edtech, and has a track record of turning complex social-science questions into scalable, impact-driven tools.
11 years of coding experience
12 years of employment as a software developer
Master's Degree, Computational Social Science, Master's Degree, Computational Social Science at University of Chicago
Bachelor's Degree, B.A. in Economics and B.A. in German Studies, Bachelor's Degree, B.A. in Economics and B.A. in German Studies at Brigham Young University
English, German, Russian