Nate Veldt is an Assistant Professor in the Department of Computer Science and Engineering at Texas A&M University. Before joining Texas A&M, he was a postdoctoral associate in the Center for Applied Mathematics at Cornell University. He completed his Ph.D. at Purdue University, where received the 2019 Dimitris N. Chorafas Foundation award for his dissertation on Optimization Frameworks for Graph Clustering. Dr. Veldt’s research is broadly focused on algorithms and optimization techniques for data science and network analysis. His work brings together tools from network science, combinatorial optimization, scientific computing, and machine learning to develop algorithms for analyzing large networks and datasets that are efficient and come with strong theoretical guarantees. His research has been recognized with an AFOSR Young Investigator Award (2025), a SIAM Applied and Computational Discrete Algorithms Early Career Prize (2023), and a Texas A&M Institute of Data Science Career Initiation Fellowship (2022). He currently serves as the secretary for the activity group on Applied and Computational Discrete Algorithms within the Society of Industrial and Applied Mathematics.