Juncal Arbelaiz

Juncal Arbelaiz received B.Sc. and M.Sc. degrees in industrial engineering from the University of Navarre, San Sebastian, Guipuzcoa, Spain, in 2014 and 2016, respectively, and the Ph.D. degree in applied mathematics from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in September 2022. She is currently a Postdoctoral Fellow with the Mechanical and Aerospace Engineering department at Princeton University, Princeton, NJ, USA, where she also holds an affiliation with the Center for Statistics and Machine Learning (CSML). Her research interests are in optimal decentralized control and estimation of spatially distributed systems. Dr. Arbelaiz is a 2022 Schmidt Science Postdoctoral Fellow and was honored as a Rising Star in EECS in 2021. She was the recipient of a Hugh Hampton Young Memorial Fellowship from the Office of Graduate Education at MIT for two consecutive years, 2020 and 2021. She was recognized as a McKinsey Next Generation Women Leader in 2020. She was also the recipient of a Rafael del Pino Foundation Excellence Fellowship (2019), the Google Women Techmakers Scholarship (2018), the National Award for Academic Excellence of the Government of Spain (2018), the la Caixa Foundation Fellowship (2017) and the Presidential Fellowship from MIT (2016).