Matias Cattaneo
Professor, Operations Research And Financial Engineering (ORFE)
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolMatias Cattaneo is a Princeton professor in Operations Research and Financial Engineering with nine years of post-PhD academic experience leading research at the intersection of data and decision sciences, program evaluation, and causal inference. He holds a PhD in Economics and an MA in Statistics from UC Berkeley and combines rigorous econometric theory with practical applications across public policy and Latin American studies. At Princeton he holds multiple affiliated appointments—including CSML, AI at Princeton, and SPIA—and serves as an Amazon Scholar, reflecting a bridge between academic research and industry engagement. Known for translating advanced causal methods into tools for empirical researchers, he brings deep statistical training to questions of policy impact and decision-making under uncertainty. An Argentinian-trained economist by background, he pairs cross-disciplinary collaboration with a track record of shaping both methodological innovation and applied work.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at University of California, BerkeleyMaster program, Economics, Master program, Economics at Universidad Torcuato Di TellaLicentiate degree, Economics, Licentiate degree, Economics at University of Buenos Aires
Github Skills (20)
prediction-model10
hierarchical10
extrapolation10
sampling10
resampling10
causal-inference10
statistical-inference10
regression10
density-estimation10
procedures10
uniform9
partitioning9
partition9
statistics9
particle-filter9
Programming languages (3)
Github contributions (5)
nppackages/binsreg
Aug 2020 - Oct 2022
Contributions:48 commits, 2 PRs, 65 pushes in 2 years 2 months
pythoninferencehierarchicalestimationgraphical
mdcattaneo/mdcattaneo.github.io
Feb 2023 - Mar 2025
Contributions:288 pushes, 1 branch in 2 years 2 months
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