Stephanie Milani
Scholar

Stephanie Milani

Google Scholar ID: vx68rkMAAAAJ
NYU
Reinforcement LearningMachine LearningArtificial IntelligenceHuman-AI Interaction
Citations & Impact
All-time
Citations
977
 
H-index
15
 
i10-index
21
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Recognized as a Rising Star in ML & Systems, Future Leader in Responsible Data Science & AI, and Rising Star in Data Science; successfully defended her thesis; co-organized two workshops in April 2025: Finding the Frame at RLC and Invisible by Design? Generative AI and Misrepresentation at FAccT CRAFT.
Research Experience
  • Graduated from CMU and started as an Assistant Professor/Faculty Fellow at NYU in September 2025; interned twice at Microsoft Research during PhD, once with Geoff Gordon and once with Katja Hofmann.
Education
  • PhD in Machine Learning from Carnegie Mellon University, advised by Fei Fang.
Background
  • Research interests include reinforcement learning, foundation models, and human-centered AI, with the ultimate goal of creating practical AI agents that can learn from feedback to complement and augment human abilities.
Miscellany
  • Contact: NYU Email: stephaniemilani@nyu.edu; JHU Email: milani@jhu.edu; Office: New York City, then Baltimore; Twitter/X: @steph_milani