Leah Ajmani
Scholar

Leah Ajmani

Google Scholar ID: Ng3PD7MAAAAJ
University of Minnesota
Human Computer InteractionAI ethicsPredictive mental health
Citations & Impact
All-time
Citations
223
 
H-index
7
 
i10-index
6
 
Publications
16
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Recipient of the Computer Science Fellowship; Published articles on applying ethics in machine learning and artificial intelligence.
Research Experience
  • Participates in research at the GroupLens lab; Research projects include exploring how to integrate philosophical theory with empirical substantiation for more responsible AI applications.
Education
  • Degree: PhD Candidate in Computer Science; University: University of Minnesota; Advisor: Stevie Chancellor; Expected Graduation: Spring 2026; Undergraduate: Cornell University (Majors in Computer Science and Philosophy).
Background
  • Research Interests: Applying a philosophical lens to modern technology problems, especially in online communities and predictive systems. Field: Combining Computer Science with Philosophy, focusing on more ethical data decisions.
Miscellany
  • Interests: Yoga, rock climbing, playing with her dog; Hobbies: Writing, reading, etc.