ABOUT THE MILLENNIUM FELLOWSHIP - CLASS OF 2025
United Nations Academic Impact and MCN are proud to partner on the Millennium Fellowship. This year, 60,000+ young leaders applied to join the Class of 2025 on 7,000+ campuses across 170 nations. 290+ campuses worldwide (less than 5%) were selected to host the 4,500+ Millennium Fellows.
UNITED NATIONS ACADEMIC IMPACT AND MCN PROUDLY PRESENT NATHAN SHANGRU LIU, A MILLENNIUM FELLOW AND CAMPUS DIRECTOR FOR THE CLASS OF 2025.
University of California Berkeley | California, United States | Advancing SDG 13, SDG 3, SDG 7, SDG 9, SDG 11 & UNAI 3
" I believe the gap between what science can solve and what actually reaches the world is one of the most important problems of our time. I work at that gap — building systems that translate technical insight into measurable environmental outcomes. The Millennium Fellowship has sharpened my ability to pair engineering rigor with the human side of impact: understanding who a solution serves, and how to get it there. "
Millennium Fellowship Project: Emissions Eye
As Campus Director, Nathan led multiple initiatives at UC Berkeley supporting local communities. His personal project, Emissions Eye, is a machine-learning-empowered platform that monitors diesel vehicle emissions in real time across 30+ engine and exhaust parameters, predicting faults and flagging vehicles for targeted repair. The system is deployed in tens of thousands of vehicles worldwide and has prevented thousands of tons of harmful pollutants from entering the air. During the Fellowship, Nathan continued advancing the platform's ML capabilities, integrating more sophisticated predictive models to improve detection accuracy and expand into new regions.
About the Millennium Fellow
Nathan Liu (nathanliu.me) is an undergraduate at UC Berkeley, pursuing dual bachelor degrees in Chemical Engineering and Computer Science. He conducts research in the Peidong Yang Group on ML-driven catalyst discovery for CO₂ electrochemical reduction, co-founded a startup applying physics-informed neural networks to industrial process optimization, and has worked on neural decoding algorithms for brain-computer interfaces to optimize information transfer rates. Nathan aims to translate rigorous research into practical engineering solutions that advance the United Nations' Sustainability and Well-Being Goals.
