Zoom
Title: Beyond Algorithms: Why sociotechnical systems matter in cybersecurity
Abstract: Cybersecurity isn’t just about code and algorithms—it’s about people, processes, and the complex systems that connect them. This talk will explore the role of sociotechnical systems in cybersecurity at Duo Security, examining the balance between data security, privacy, and the challenges of using unsupervised machine learning. Through a real-world data governance case study, Henry will highlight the critical, often-overlooked non-technical skills that enable data scientists to drive impact in the industry.
Scott Henry
Technical Lead, Data Science, Duo Security
Scott is a Data Science Technical Lead at Cisco (Duo Security) focusing on analyzing product data of cyber security applications to help keep companies safer. Previously, Scott was a Data Scientist and Innovation Policy Consultant at the World Bank where he researched innovation and entrepreneurship in cities with a focus on supporting innovation ecosystems for economic and employment growth. He studied at the University of Michigan where he taught Data Science, wrote policy briefs on the equity of public sector algorithms, and analyzed the policy and equity implications of ridesharing demand in Chicago. He was also a Data Scientist at Bain & Company in the Advanced Analytics Group.
Scott holds a Masters of Science in Information from the University of Michigan, a Graduate Certificate in Science, Technology and Public Policy from the Gerald R. Ford School of Public Policy and a Bachelor of Commence in Computer Science from the University of British Columbia.
About the Series: The HDSI Data Science in Industry Seminar series provides the opportunity for Harvard students, faculty, and postdoctoral fellows to hear directly from industry data scientists about the role data science plays in their organization, the methods and techniques being used, and their own career trajectory.