I am a Ph.D. candidate at the University of Notre Dame advised by Prof. Toby Li. My research centers on Human-AI interaction, with a focus on designing and evaluating tools that foster collaboration between humans and AI in ambiguous or uncertain contexts. I draw on cognitive learning theories to guide this work, aiming to enable more effective human-AI alignment. Grounded in cognitive learning theories, my work explores how to support users in aligning their intentions, preferences and values during model training, fine-tuning, and evaluation processes.
[April 2025] Our CHI25 paper on co-adaptive machine teaching won the best paper award 🎉.[Aug 2024] I will be at UIST presenting our demo paper MOCHA: Model Optimization through Collaborative Human-AI Alignment 🤓.[Oct 2023] Finished my internship at Meta Reality Labs.[May 2023] Started my internship at Meta Reality Labs.[Feb 2023] Our paper PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis got into CHI 🎉 .[Jan 2022] Started my PhD at the University of Notre Dame.[Oct 2021] Graduated from Addis Ababa University, Bachelor of Science in Software Engineering with Great distinction.[Oct 2021] Gave my graduation lecture as a Global Teaching Fellow at Delta Analytics, watch it here![Apr 2021] Started as a Global Teaching Fellow at Delta Analytics.[May 2020] Started working as a research intern at University of Michigan, AURA2020.[Oct 2019] Organized the 1st AI in Ethiopia Conference, Read about it! |