معرفی
Carlee Joe-Wong is the Robert E. Doherty Career Development Associate Professor in the Electrical and Computer Engineering department at Carnegie Mellon University (CMU), part of the College of Engineering. She leads the LIONS research group (Learning, Incentives, and Optimization in Networked Systems), focusing on mathematical and economic aspects of computer and information networks. Her work emphasizes practical system deployments, such as her co-founded startup DataMi, which commercialized smart data pricing (SDP) solutions deployed globally by ISPs like AT&T and Airtel.
Previously, she held roles at Princeton University (Ph.D., M.A., A.B. in Mathematics/Applied Mathematics) and served as Director of Advanced Research at DataMi (2013–2014). Her research spans network economics, edge computing, federated learning, and autonomous vehicle policy. Notable contributions include foundational work on burstable cloud instances, dynamic pricing mechanisms, and resilience in mixed-autonomy transportation systems.
Awards include the INFORMS ISS Design Science Award (2014), Best Paper at IEEE INFOCOM (2012), and DOE Early Career Award (2024). She has advised numerous industry collaborations and contributed to standards in distributed learning and networked systems through initiatives like the Fog Computing framework and federated learning benchmarks.
Education: Ph.D. (2016), M.A. (2013), and A.B. (2011) in Applied Mathematics from Princeton University. Active in policy briefs on autonomous vehicles and energy-efficient computing systems.
