Scholar
Amanda Coston
Google Scholar ID: 8U7d-_MAAAAJ
Microsoft
algorithmic fairness
machine learning
causal inference
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Citations & Impact
All-time
Citations
965
H-index
13
i10-index
13
Publications
20
Co-authors
10
list available
Contact
CV
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GitHub
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Publications
3 items
Falsifying Predictive Algorithm
2026
Cited
0
Bridging Prediction and Intervention Problems in Social Systems
2025
Cited
0
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
2022
Cited
5
Resume (English only)
Academic Achievements
Schmidt Sciences AI 2050 Early Career Fellow
Rising Star in EECS, Machine Learning, and Data Science
Meta Research PhD Fellow
NSF GRFP Fellow
K&L Gates Presidential Fellow in Ethics and Computational Technologies
Tata Consultancy Services Presidential Fellow
Best paper awards; work featured in The Wall Street Journal and VentureBeat
Oral presentation (20% acceptance rate) at American Causal Inference Conference (ACIC) 2022: 'Counterfactual audit of racial bias in police traffic stops'
Co-authored papers with E. H. Kennedy, including 'The role of the geometric mean in case-control studies' (arXiv, 2022)
Co-authors
10 total
Alexandra Chouldechova
Researcher @ MSR NYC FATE
Edward H. Kennedy
Associate Professor of Statistics & Data Science, Carnegie Mellon University
Co-author 3
Karthikeyan Natesan Ramamurthy
Research Scientist, IBM Thomas J Watson Research Center, Yorktown Heights, NY
Supriyo Chakraborty
Distinguished Applied Researcher, AI Foundations, Capital One
Dennis Wei
IBM Research
Co-author 7
Kush R. Varshney
IBM Research
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