I am an Assistant Professor in the Department of Information Science at the Ann S. Bowers College of Computing and Information Science at Cornell University. My research examines how digital technologies—online platforms, algorithmic systems, digital advertising, and AI—reshape markets, competition, and consumer behavior. I use large-scale empirical analysis, field experiments, and the design of new data infrastructures to connect information systems with their economic and social consequences.
My work addresses central questions in the digital economy, including the effects of privacy regulation on the advertising ecosystem, the economics of online platforms, and the impacts of data-driven technologies and AI on public participation and work. I publish in leading venues across IS and adjacent fields, including Management Science, the Yale Journal of Law and Technology, CSCW, ICWSM, and others.
My work has informed regulatory and policy discussions, been cited by the former Chair of the Federal Trade Commission, and presented to multiple government agencies. It has been supported by the National Science Foundation, the Cornell–Mellon Just Futures Initiative, and other major funders.
Before joining Cornell, I was a postdoctoral fellow at the Heinz College at Carnegie Mellon University, working with Prof. Alessandro Acquisti. I received my Ph.D. in Engineering and Public Policy from Carnegie Mellon University.

This course covers different mathematical models to understand how markets operate and how we can design them to influence agents’ behavior and produce the outcomes we need. We also explore what defines network economies, multi-sided markets, and platforms.
Cornell University (Spring 2020-2025)
The course is structured around three broad topics. We first study how privacy has been understood over time, and how the economic analysis of privacy has evolved as the use of computing and connectivity has increased. We will next turn to the behavioral economics of privacy, to incorporate how human behavior influences the analysis of privacy. Finally, we will analyze how different economic theories can explain seemingly counter-intuitive patterns in information security.
Cornell University (Fall 2020, Fall 2021, Fall 2022, Fall 2024)
This doctoral seminar examines how digital transformation reshapes markets, platforms, and economic behavior through empirical and experimental approaches. Students engage with research across disciplines to understand the economics of digitization and develop an original research project on a related topic.
Cornell University (Fall 2023)
This is the capstone project course of the Master of Information System Management program at the Heinz College at CMU. As faculty advisor I worked with teams of students designing and implementing an information system for an external client.
Carnegie Mellon University (Fall 2018)
I co-developed this class with other faculty at P. Universidad Catolica de Chile, and faculty from UC Berkeley’s Sutardja Center for Entrepreneurship and Technology. Students are required to develop a technology based entrepreneurial idea and produce a prototype and pitch for their project. The course finishes up in a competition where winners received seed funding for their projects (~US$7,500/project). In my two semesters teaching this course, several teams of my students went on to win the competition.

Pontificia Universidad Catolica de Chile (Fall 2015, Spring 2016)
This course was part of the core curriculum of the Master in Energy program at P. Universidad Catolica de Chile. It covered topics on science and technology policy that are relevant to energy professional, and tools for analyzing complex problems in their social, technical, and economic dimensions.
Pontificia Universidad Catolica de Chile (Fall 2015, Spring 2016)
This course is part of the core curriculum of the Master in Engineering & Technology Innovation Management at CMU. It is case-based method course that covers several different analytical frameworks for studying technology management problems, and for supporting decision-making.
Carnegie Mellon University (Fall 2013, Fall 2014)