About me
Hi! I am a Master of Science student in Computer Science at York University, where I am a member of the Responsible AI Lab under the supervision of Dr. Laleh Seyyed-Kalantari. Previously, I pursued a Master of Science in Software Engineering at Sharif University of Technology, where I was a member of the Intelligent Software Engineering Lab advised by Dr. Abbas Heydarnoori. I received my Bachelor of Science in Software Engineering from K.N. Toosi University of Technology.
My primary research interests lie in the fields of Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing, and General Software Engineering. Specifically, I am interested in Mining Software Repositories, AI Fairness, Natural Language Representation Learning, Natural Language Summarization, 2D & 3D Object Detection and Tracking, and Medical Image Segmentation.
Feel free to email me at arash.asgari.m@gmail.com or check my CV.
📣 Recent News
- 🏆 [Apr 2026] Our paper “Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models” has been accepted to the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)!
- ⚕️ [Nov 2025] Our paper “MedPerturbing LLMs: A Comparative Study of Toxicity, Prompt Tuning, and Jailbreaks in Medical QA” was published in the Proceedings of the AAAI Symposium Series.
- 🧬 [Nov 2025] Our paper “From Bias to Breakdown: Benchmarking Failure Mode Analysis of Single-cell RNA Sequencing Foundation Models in Acute Myeloid Leukemia” was published in the Proceedings of the AAAI Symposium Series.
- 📊 [Oct 2025] Our paper “Predicting the understandability of computational notebooks through code metrics analysis” was published in Empirical Software Engineering.
- 💻 [Apr 2024] Our paper “DistilKaggle: a distilled dataset of Kaggle Jupyter notebooks” was published in the Proceedings of the 21st International Conference on Mining Software Repositories (MSR).