Max Springer
Google Scholar | maxspringer 'at' princeton 'dot' edu | Curriculum Vitae
I am an algorithms researcher, science communicator, and tech policy expert.Â
Currently, I serve as a research fellow at Princeton University, where my work focuses on designing efficient algorithms that enable data-driven innovations while preserving fairness. I also study the societal impacts of algorithms, machine learning and AI systems, developing solutions to mitigate their potential harms. Beyond my research, I am currently a consultant to the United Nations' Independent International Scientific Panel on AI wherein I am working as a technical editor and drafter for their inaugural report.
I obtained my PhD in Applied Mathematics from the University of Maryland, where I was advised by MohammadTaghi Hajiaghayi and my dissertation, titled "The Price of Fairness in Algorithmic Decision Making," was supported by an NSF Graduate Research Fellowship. Previously, I held research roles at Google Research, Nokia Bell Labs, Yale School of Medicine, and the National Institutes of Health. I completed my undergraduate studies at Cornell University with a B.A. in Mathematics and minors in Cognitive Science and Biological Sciences.
In addition to research, I frequently contribute mathematics explainer pieces and news articles to Scientific American, serve as a fact-checker for several science news outlets, and was selected as a 2024 AAAS Mass Media Fellow.
Selected Publications
K. Banihashem, D. Chakraborty, S.C. Jahan, I. Gholami, M.T. Hajiaghayi, M. Mahdavi, M. Springer
ICLR 2026
Fair Polylog Approximate Low-Cost Hierarchical Clustering
J.P. Dickerson, M.T. Hajiaghayi, M. Knittel, M. Springer
NeurIPS 2023
Online Algorithms for the Santa Claus Problem
M.T. Hajiaghayi, M.R. Khani, D. Panigrahi, M. Springer
NeurIPS 2022
Service
I serve on the inaugural AAAI Student Committee, which was formed to increase involvement from student researchers on matters pertaining to the responsible use of Artificial Intelligence. I also volunteer as an editor for Street Sense Media, Washington DC's weekly street newspaper sold by self-employed homeless distributors.
In my free time, I like to take mediocre photos on my Nikon FE or write about any and everything on my substack.