Katie J. Wu

Katie (she/her) is a PhD student in the Emmett Interdisciplinary Program in Environment and Resources (E-IPER). Prior to Stanford, she studied data science and AI for Product Innovation at Duke University where she obtained a Master of Engineering Management. She was a Sustainability Graduate Intern at Lyft, Inc. where she completed and rebuilt their 2020 Greenhouse Gas (GHG) Inventory and Report and designed an air quality model forecasting potential health benefits for underserved communities from platform-wide EV adoption. Katie also received an M.S. in Medical Science from the University of Colorado School of Medicine and a B.S. in Animal Science with Distinction in Research from Cornell University. She is a Dean's Graduate Scholar in the Doerr School of Sustainability, a Stanford Dalai Lama Fellow, and a Graduate Fellow at the Stanford Institute for Human-Centered AI (HAI). Katie's research focuses on the intersection of urban ecology, well-being, and climate resilience. She uses large-scale data analysis and artificial intelligence to examine how infrastructure development impacts human and planetary health in urban contexts.