Wajeeha is a PhD student at the Management Science and Engineering department at Stanford interested in examining the role of digital platforms in enabling entrepreneurship and creating shared prosperity. Before coming to Stanford, she received a BS in Mathematics and an MS in Technology and Policy from MIT.
Alma Andino-Frydman earned a Bachelor’s in Economics and a Masters in Sociology from Stanford University.. Her research focuses on the future of work, firm-level productivity, remote work, adoption of generative AI, and labor rights. Alma’s work has been published by the Stanford Institute for Economic Policy Research and Research on the Sociology of Work. Currently, she is working to build a global social safety net with SafetyWing.
In addition to being a visiting student researcher at the Lab, Rebecca Janßen is a researcher in the Digital Economy Department at ZEW Mannheim and a PhD student at the University of Zurich. Her work focuses on digital platforms, digital health, and the consequences of AI.
Saurabh is a PhD candidate in education policy and a William R. and Sara Hart Kimball Fellow at Stanford. He studies social, economic, and information networks in the context of developing nations. Working around knowledge graphs and fairness of knowledge access on the internet, Saurabh is building an open-source web platform that dynamically evaluates biases in internet search results.
Previously, he worked as a research assistant in the Empirical Economics group at Microsoft Research’s New England lab.
Alex also worked for two years as an economic analyst for Wells Fargo Securities after completing his undergraduate degree in economics and business administration from the University of North Carolina at Chapel Hill.
Zanele graduated from Duke University in 2015, where she was a Reginaldo Howard Memorial Scholar, with a B.S. in computer science. She has also studied at the University of Delaware, University College London, and Stanford University.
Her previous engineering roles include computer networking research, Android and iOS development, natural language processing research, and data mining and analysis.
Her research interests include economics of innovation, the digital economy, and applications of machine learning in economics.
Divya Siddarth is the co-founder of the Collective Intelligence Project, an experimental research organization that advances collective intelligence capabilities for the democratic and effective governance of transformative technologies. She was formerly associate political economist and social technologist at Microsoft, and also holds positions as the Ethics in AI Institute in Oxford and at the Plurality Lab at Harvard’s Safra Center for Ethics.
He was previously a pre-doctoral fellow at SIEPR, advised by professors David Chan and Maria Polyakova.
Hong-Yi completed his undergraduate studies in economics at Columbia University and holds a masters in computational statistics and machine learning from University College London.
