Eytan Bakshy

Eytan Bakshy is a researcher and executive known for work on information diffusion, social networks, and computational social science. He has held roles at Facebook, Inc./Meta Platforms and in academic institutions, contributing to research on algorithmic influence, online advertising, and social contagion. His work bridges empirical studies at scale with methods from computer science and network science.

Early life and education

Bakshy completed undergraduate and graduate training in environments associated with Massachusetts Institute of Technology, Harvard University, and institutions known for computational research. He pursued doctoral studies with advisors connected to fields represented at Stanford University, University of California, Berkeley, and Princeton University, engaging with communities around ACM and IEEE conferences. During formative years he participated in research networks linked to centers such as the MIT Media Lab, Harvard Kennedy School, and the Santa Fe Institute, integrating perspectives from researchers who also collaborate with Microsoft Research, Google Research, and Yahoo! Research.

Academic and research career

Bakshy's academic trajectory includes affiliations with research groups focused on large-scale experimentation and causal inference, working alongside scholars from Harvard Business School, Harvard Medical School, and departments at Columbia University. He contributed to the development of methodologies discussed at venues like the Conference on Neural Information Processing Systems and the International Conference on Weblogs and Social Media, collaborating with authors publishing in journals related to Nature and Science. His research intersects with teams at Facebook AI Research and policy-focused groups including Brookings Institution and Center for Democracy & Technology.

Industry roles and leadership

In industry, Bakshy has held leadership positions at Facebook, Inc./Meta Platforms, overseeing experiments and measurement within product teams that engage with services such as Facebook News Feed, Instagram, and WhatsApp. He has interacted with corporate units tied to Meta AI and program teams that coordinate with external partners including Nielsen, Comcast, and advertising stakeholders like Omnicom Group and WPP plc. His managerial responsibilities connected to platform governance placed him in dialogues with regulators and organizations such as the Federal Trade Commission, European Commission, and privacy-focused entities like the Electronic Frontier Foundation.

Research contributions and publications

Bakshy's publications examine information diffusion, social influence, and algorithmic ranking, often using large-scale randomized experiments and observational analyses. He coauthored studies measuring the role of weak ties and strong ties in transmission dynamics, drawing on theories from Mark Granovetter and computational techniques used by researchers at Google, Microsoft Research, and Amazon Web Services. His empirical work has been presented alongside studies by scholars from Yale University, University of Pennsylvania, New York University, and University of Michigan at conferences such as KDD, WWW, and ICWSM. Topics in his papers include the effects of ranking algorithms on exposure to news from outlets like The New York Times, The Washington Post, and BBC News, as well as analyses relevant to platforms including Twitter and Reddit. Methodological contributions engage with causal inference frameworks developed in connection with researchers at Harvard and Stanford, and experimental design standards discussed at SIGMETRICS and CHANCE communities.

Awards and honors

Bakshy has received recognition from venues that honor contributions to computational social science and applied machine learning, with distinctions acknowledged by organizations such as the Association for Computing Machinery, Society for Industrial and Applied Mathematics, and program committees of NeurIPS and ICML. His work has been cited in reports by policy bodies including the United States Congress research offices and commissions convened by the Organisation for Economic Co-operation and Development. He has been invited to speak at forums hosted by TED Conferences, Aspen Institute, and industry summits organized by SXSW.

Category:Computational social scientists Category:Facebook employees