I am currently a postdoc in the Operations Research Department at Carnegie Mellon University. I graduated in May 2023 from the same department through the the Algorithms, Combinatorics, and Optimization (ACO) Program, where I was advised by Ben Moseley. My thesis On Combinatorial and Stochastic Optimization won the 2023 Gerald L. Thompson Doctoral Dissertation Award in Management Science.
Previously, I obtained a MS in Computer Science and BS in Mathematics from Washington University in St. Louis, where I was advised by Brendan Juba.
I am on the job market for both academia and research positions in industry.
Broadly I am interested in operations research and theoretical computer science. I am working on developing new technical tools to design algorithms for fundamental optimization problems with a focus on online and stochastic models. I am also working on applying these algorithms to applications in logistics and the cloud computing supply chain.
Author order is alphabetical by last name unless otherwise noted by (*).
Franziska Eberle, Anupam Gupta, Nicole Megow, Benjamin Moseley, Rudy Zhou
Configuration Balancing for Stochastic Requests
Integer Programming and Combinatorial Optimization (IPCO) 2023. (Link) (Full Version) (Slides)
Benjamin Moseley, Kirk Pruhs, Clifford Stein, Rudy Zhou
A Competitive Algorithm for Throughput Maximization on Identical Machines
Integer Programming and Combinatorial Optimization (IPCO) 2022. (Link) (Full Version) (Slides)
Minor Revisions at Math Programming
Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang, Rudy Zhou
Robust Online Correlation Clustering
Neural Information Processing Systems (NeurIPS) 2021. (Link) (Full Version) (Slides)
Sungjin Im, Benjamin Moseley, Rudy Zhou
The Matroid Cup Game
Operations Research Letters, 2021. (Link)
Anupam Gupta, Ben Moseley, Rudy Zhou
Structural Iterative Rounding for Generalized k-Median Problems
International Colloquium on Automata, Languages and Programming (ICALP) 2021. (Link) (Full Version) (Slides)
Sungjin Im, Mahshid Montazer Qaem, Benjamin Moseley, Xiaorui Sun, Rudy Zhou
Fast Noise Removal for k-Means Clustering
Artificial Intelligence and Statistics (AISTATS) 2020. (Link) (Full Version) (Slides)
- Main Instructor at Carnegie Mellon University:
- MBA Calculus Fundamentals (Spring 2022 Session 1, Spring 2022 Session 2, Spring 2023 Session 2)
- Teaching Assistant at Carnegie Mellon University:
- Graph Theory (Fall 2020, Fall 2021)
- Teaching Assistant at Washington University in St. Louis:
- Computational Geometry (Fall 2017)
- Object-Oriented Software Development Laboratory (Spring 2017)