Recent paper accepted at ACM Computing Conference 2024 Received NSF Research Grant for AI Ethics project Speaking at International ML Symposium - March 2024

Biography

Professional Background

Dr. XYZ is an Assistant Professor in the Department of Computer Science Engineering at Stanford University, where she leads the Ethical AI Research Lab. Her research focuses on developing fair and transparent machine learning systems, with particular emphasis on bias detection and mitigation in artificial intelligence applications.

Before joining Stanford, Dr. XYZ completed her Ph.D. in Computer Science at MIT, where she was advised by Prof. Regina Barzilay. Her doctoral research explored novel approaches to interpretable machine learning and contributed to the foundational understanding of algorithmic fairness in real-world deployment scenarios.

Research Interests

  • Ethical AI and Algorithmic Fairness
  • Interpretable Machine Learning
  • Computer Vision and Image Analysis
  • Human-AI Interaction
  • Bias Detection in ML Systems

Education

Ph.D. in Computer Science
Massachusetts Institute of Technology (MIT), 2020
Dissertation: "Fairness-Aware Learning in Dynamic Environments"
M.S. in Computer Science
Carnegie Mellon University, 2016
Thesis: "Interpretable Models for Healthcare Applications"
B.S. in Computer Engineering
University of California, Berkeley, 2014
Summa Cum Laude, Phi Beta Kappa

Professional Associations

  • Association for Computing Machinery (ACM)
  • IEEE Computer Society
  • AAAI (Association for the Advancement of AI)
  • NeurIPS Community
  • International Machine Learning Society

Quick Facts

  • Office: Gates Building 415
  • Email: sarah.XYZ@stanford.edu
  • Phone: (650) 723-2300
  • H-index: 24
  • Years at Stanford: 3