Simret Araya Gebreegziabher

Simret Araya Gebreegziabher
ስምረት አርአያ ገብረእግዚአብሄር

I am a Ph.D. student 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.

I am greatful to be supported by the IBM Ph.D. fellowship for the 2024/25 academic year. Prior to this I got my Bachelor of Science from Addis Ababa University in Software Engineering.

Email / CV / Scholar / Twitter / Github

Selected Publication
	Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories 🏆 CHI25 [paper] Simret A Gebreegziabher, Yukun Yang, Elena L. Glassman, Toby Jia-jun Li
	Comparing Criteria Development Across Domain Experts, Lay Users, and Models in Large Language Model Evaluation [paper] Annalisa Szymanski, Simret A Gebreegziabher, Oghenemaro Anuyah, Ronald A Metoyer, Toby Jia-jun Li
	MOCHA: Model Optimization through Collaborative Human-AI Alignment UIST24 DEMO [paper] [video] Simret A Gebreegziabher, Elena L. Glassman, Toby Jia-jun Li
	Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning [paper] [code] Simret A Gebreegziabher, Kuangshi Ai, Zheng Zhang, Elena L. Glassman, Toby Jia-jun Li
	PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis CHI23 [paper] [code] [pip] Simret A Gebreegziabher, Zheng Zhang, Xiaohang Tang, Yihao Meng, Elena L. Glassman, Toby Jia-jun Li
Research and Recorded Talks
	Probablistic NLP for Spoken Amharic Simret A Gebreegziabher - lecture from Delta Analytics Global Teaching Fellowship 2021
	Random Forest Based AI Classifier and Explainer Simret A Gebreegziabher, Aymen J Ahmed, Andrew McCrabb, Valeria Bertacco
	Composable Benchmarking Simret A Gebreegziabher, Aymen J Ahmed, Pete Ehreet , Valeria Bertacco

News

[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!