Lily Xu is Sun-Wu Assistant Professor at Columbia University in the Department of Industrial Engineering and Operations Research. She runs the caPP Lab, advancing computation and algorithms for people and the planet. Her work provides novel methods across machine learning and optimization to enable practitioners to make effective decisions in the face of limited data, taking actions that are robust to uncertainty, effective at scale, and future-looking. Lily holds a PhD in computer science from Harvard University and was a postdoctoral research fellow at the University of Oxford. Her research has been recognized with best paper runner-up at AAAI, the INFORMS Doing Good with Good OR award, a Google PhD Fellowship, a Siebel Scholarship, and AAMAS best dissertation runner-up.