Summary
Jessica Staddon is a senior research and technology leader who blends academic rigor with decades of industry experience in privacy, security, trust/safety, and AI-driven productization. Currently a Professor of the Practice and Director of Computing Programs at Northeastern, she previously led privacy, safety, and AI initiatives at JPMorgan Chase and Google, launching enterprise products in DLP, incident management, and privacy analytics. Her work focuses on making AI usable and safe for real people, with a particular emphasis on reducing personal financial harm from fraud and abuse through tools, policies, and governance. A prolific inventor and scholar with 100+ patents and papers and a PhD in Mathematics from UC Berkeley, she is known for harmonizing regulatory requirements with business strategy and building high-performing distributed teams. Less obvious: she pairs strong quantitative and qualitative research skills with hands-on product launches, consistently translating deep research into operational systems used at scale.
9 years of coding experience
27 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of California, Berkeley