Nathan Justin
Scholar

Nathan Justin

Google Scholar ID: Gm3hzegAAAAJ
PhD Candidate, University of Southern California
OptimizationMachine LearningOperations Research
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Citations & Impact
All-time
Citations
31
 
H-index
3
 
i10-index
1
 
Publications
5
 
Co-authors
5
list available
Contact
Emailnjustin@usc.eduCVOpen ↗TwitterOpen ↗LinkedInOpen ↗
Publications
4 items
Mixed-Integer Optimization for Responsible Machine Learning
2025
Cited
0
Mixed-feature Logistic Regression Robust to Distribution Shifts
2025
Cited
0
Learning Optimal Classification Trees Robust to Distribution Shifts
arXiv.org · 2023
Cited
0
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription
arXiv.org · 2023
Cited
2
Resume (English only)
Background
  • Computer Science PhD candidate at the University of Southern California Viterbi School of Engineering
  • Advised by Phebe Vayanos
  • Affiliated with the USC Center for Artificial Intelligence in Society (CAIS)
  • National Science Foundation Graduate Research Fellow
  • Served as a student leader of CAIS for two years
  • Research areas: Data Driven Decision Making, Interpretable Machine Learning, Robust Optimization, Artificial Intelligence for Social Good, Mixed Integer Optimization, Data Analytics
Co-authors
5 total
Phebe Vayanos
Phebe Vayanos
Associate Professor at University of Southern California; Co-Director of Center for AI in Society
Andres Gomez
Andres Gomez
Industrial and Systems Engineering at the University of Southern California
Co-author 3
Co-author 3
Nathanael Jo
Nathanael Jo
Massachusetts Institute of Technology
Patrick Vossler
Patrick Vossler
University of California, San Francisco