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
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Publications
5 items
Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems
2026
Cited
0
Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
2026
Cited
0
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
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
8 total
Alexandra Chouldechova
Researcher @ MSR NYC FATE
Edward H. Kennedy
Associate Professor of Statistics & Data Science, Carnegie Mellon University
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
Kush R. Varshney
IBM Research
Geoff Gordon
Professor of Machine Learning, Carnegie Mellon University
Han Zhao
Department of Computer Science, University of Illinois Urbana-Champaign