Organizing Committee

Sarah Cen

Assistant Professor, CMU ECE and EPP

Sarah Cen is an Assistant Professor at Carnegie Mellon University's Departments of ECE & EPP. Her research is interdisciplinary and inspired by tools and frameworks in machine learning, economics, law, and policy. She has ongoing work on algorithmic auditing, AI supply chains, and AI taxes as well as recent work on social media, formalizing trustworthy algorithms, and causal inference under network interference. Previously, Sarah was a postdoc at Stanford HAI with Prof. Percy Liang and Prof. Daniel Ho, between CS and the Law School. Before that, she worked on robotics/autonomous driving at Oxford University and received her BSE in Mechanical Engineering from Princeton University.

Samsara Foubert

Role or affiliation (optional)

Short bio goes here.

João Gomes Cortes

PhD Student, CMU EPP and University of Lisbon

João Cortes is currently pursuing his Ph.D in Engineering and Public Policy at Carnegie Mellon University and University of Lisbon. João has begun his PhD in collaboration with the European Commission's Joint Research Centre. His research focuses on Geospatial Transportation Networks and the effects network structures have on air pollution concentration and resource allocation, including their effects on transport poverty. Cortes has worked for 5 years in Data Science for the European Central Bank, Deloitte Technology and the Portuguese Foreign Trade and Investment Agency (AICEP). João has also worked as a policy researcher for the Institute for Public Policy (IPP) and Nova School of Business and Economics where he graduated in Economics with a major in Data Science.

Meryl Ye

Role or affiliation (optional)

Short bio goes here.

Cole Frank

PhD Student, CMU

Cole’s research interests span ML evaluation, privacy, and individual data rights in the generative AI era. His work draws on an interdisciplinary background bridging ML engineering, economics, and public policy.

Hayden Stec

Research Programmer, CMU HCII

Hayden is a Research Programmer at Carnegie Mellon University’s Human-Computer Interaction Institute, working at the intersection of HCI, machine learning, and the learning sciences. His work focuses on leveraging the differences between human cognition and machine learning to design more effective learning, authoring, and decision-support tools. He supports multiple labs in designing, developing, and deploying human-AI systems in education and supports junior technical and research staff.

Jane Hsieh

PhD, CMU Software Engineering

Jane explores the future of work in her research, focusing primarily on platform-based gig labor. Her mixed-methods approaches often involve multi-stakeholder perspectives, which often include co-design with policymakers to inform more evidence-based legislation and enforcement to advance labor rights, protections, as well as overall worker safety, well-being and welfare.

Aadyaa Maddi

PhD Student, CMU ECE

Aadyaa is a first-year PhD student generally interested in data privacy and distributed systems. She is currently exploring how synthetic data can unlock data sharing and analysis opportunities in healthcare systems while protecting patient privacy with formal guarantees.