Megan Hines is a Vice President and AIML Lead at JPMorgan Chase, where she drives applied machine learning initiatives across complex financial systems. With experience spanning ML science, AI/ML engineering, and data engineering, she has built and deployed models that support large‑scale analytics and compute platforms. Before joining JPMorgan, she held data engineering roles at ClearOne Advantage and Murmuration. Megan’s background blends International Affairs, Data Science, and Applied Mathematical Economics, and she has presented research at national conferences.