Scholar
Carol Long
Google Scholar ID: DGQASc8AAAAJ
Harvard University
Trustworthy ML
Optimization
Information Theory
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Citations & Impact
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Citations
54
H-index
3
i10-index
3
Publications
9
Co-authors
9
list available
Contact
Email
carol_long@g.harvard.edu
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Publications
1 items
Predictive Churn with the Set of Good Models
arXiv.org · 2024
Cited
7
Resume (English only)
Academic Achievements
HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions (Under Review, 2025)
Optimized Couplings for Watermarking Large Language Models, IEEE ISIT 2025
Kernel Multiaccuracy, Foundations of Responsible Computing (FORC) 2025
Predictive Churn with the Set of Good Models (Under Review, 2024)
Multi-Group Proportional Representation in Retrieval, NeurIPS
Oral presentation at IEEE ISIT 2025 (University of Michigan)
Oral presentation at FORC 2025 (Stanford University)
Background
Final-year Ph.D. candidate in Applied Mathematics at Harvard University
Research focuses on reliable, responsible, and trustworthy Machine Learning
Works on GenAI Agents, supply chain management, LLM watermarking, algorithmic fairness, multiplicity, etc.
Uses tools from Optimization, Information Theory, Probability, and Statistics
On the job market for positions starting September 2026, with a preference for Europe
Co-authors
9 total
Flavio du Pin Calmon
Harvard University
Hsiang Hsu
Harvard University
Berk Ustun
UCSD
Claudio Mayrink Verdun
Harvard University
David C. Parkes
George F. Colony Professor of Computer Science, John A. Paulson Dean, Harvard University
Jamelle Watson
Research Scientist, Meta
Sajani Vithana
Harvard University
Alex Oesterling
PhD Candidate, Harvard University
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