Hi there! I’m Hiwot Belay, a Ph.D. student at Harvard’s Data to Actionable Knowledge Lab, advised by Finale Doshi-Velez. My research focuses on Interpretable Machine Learning.

Before starting my Ph.D., I completed my undergraduate studies in Computer Engineering at Benedict College.

Research Interests

• Interpretable Machine Learning

📄 Publications

• Transparent Trade-offs between Properties of Explanations
  H Tadesse, A Hüyük, Y Yacoby, W Pan, and F Doshi-Velez
  UAI 2025
• Directly Optimizing Explanations
  H Tadesse, A Hüyük, Y Yacoby, W Pan, and F Doshi-Velez
  ICML Workshop on Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact, 2024
• Variational Exploration Module VEM: A Cloud-Native Optimization and Validation Tool for Geospatial Modeling and AI Workflows
  Julian Kuehnert, Hiwot Tadesse, Chris Dearden, Rosie Lickorish, Paolo Fraccaro, Anne Jones, Blair Edwards, Sekou L Remy, Peter Melling, Tim Culmer Pre-print, 2023

  📬 Get in Touch

Feel free to reach out via Email