Scholar
Max Springer
Google Scholar ID: x9NBFhwAAAAJ
Princeton University
Citations & Impact
Citations
94
H-index
6
i10-index
3
Publications
19
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Selected Publications:
- - Bi-criteria Metric Distortion (in review)
- - Fair Polylog Approximate Low-Cost Hierarchical Clustering (NeurIPS 2023)
- - Online Algorithms for the Santa Claus Problem (NeurIPS 2022)
- Other Achievements:
- - 2024 AAAS Mass Media Fellow
- - Contributor to Scientific American
- - Fact-checker for several science news outlets
- - Member of the inaugural AAAI Student Committee
- - Volunteer editor for Street Sense Media, Washington DC's weekly street newspaper sold by self-employed homeless distributors.
Research Experience
- Held research roles at Google Research, Nokia Bell Labs, Yale School of Medicine, and the National Institutes of Health.
Education
- PhD in Applied Mathematics from the University of Maryland, advised by MohammadTaghi Hajiaghayi, supported by an NSF Graduate Research Fellowship. Undergraduate studies at Cornell University with a B.A. in Mathematics and minors in Cognitive Science and Biological Sciences.
Background
- Algorithms researcher, science communicator, and mathematics educator. Currently serving as a research fellow at Princeton University, focusing on designing efficient algorithms that enable data-driven innovations while preserving fairness. Also studies the societal impacts of algorithms, machine learning, and AI systems, developing solutions to mitigate their potential harms.
Miscellany
- In my free time, I like to take mediocre photos on my Nikon FE or write about any and everything on my substack.
