Organizers

Jessica is a Managing Director in the AI Research team of JP Morgan Chase, where she develops tools and services that leverage financial data to improve user safety online, including financial abuse detection and transparent personalization. Previously, she was a Research Scientist at Google where she led research for various products in areas including enterprise security, privacy and social media. Prior to that, she was an area manager at Xerox PARC, and a research scientist at Bell Labs and RSA Labs. She serves regularly on the program committees of ACM and IEEE sponsored security/privacy conferences and is on the editorial boards of IEEE Security & Privacy Magazine and the International Journal of Information and Computer Security. Jessica holds a PhD in Mathematics from U. C. Berkeley.

Markus is Chief Scientist at Artema Labs, Inc, and formerly Chief Scientist at ByteDance. His research includes payment systems, prediction and detection of fraud, and user interfaces. His early work involves the formalization of proof of work in 1999 and on phishing in the early 2000s; more recently, he has worked on improving security and reducing environmental impact of blockchain technologies. He is a serial entrepreneur, textbook author and a prolific inventor. He holds a PhD in Computer Science from U.C. San Diego.

Jenny is the Global Head of UX Research and Content Strategy for Payments at Google. Her prior research has included mobile device use, and she has published design principles for eCommerce. Previously Jenny managed the Apps, Social, and Ads Design Research teams at Google. Prior affiliations include Sun Microsystems, Zadu, and the Open University, UK. She received her Ph.D. from the University of Southampton in the UK.

Rebecca is a Professor at the Creative Computing Institute at University of the Arts London and Director of Creative Machine Learning at Artema Labs, Inc. Her research includes a focus on exploring creative uses of machine learning, as well as developing tools for end-users to design new, bespoke machine learning systems in a variety of domains. She has acted as the subcommittee chair for the first two years of the ACM SIGCHI conference’s new subcommittee on Computational Interaction. She has organized numerous workshops at CHI, NeurIPS, and IUI. She is currently associate editor of ACM Transactions on Computer-Human Interaction and is co-editing a book on Human-Centered Machine Learning, to be published in 2023 by Cambridge University Press.