Amanda Coston
Scholar

Amanda Coston

Google Scholar ID: 8U7d-_MAAAAJ
Microsoft
algorithmic fairnessmachine learningcausal inference
Citations & Impact
All-time
Citations
965
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
10
list available
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)