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yminglai/README.md

My name is Minglai Yang

Researcher @IVILAB, @CLULAB, @ML4AI LAB & President @ UArizona AI Club

GIF

I am a final year undergraduate student at the Computer Science, University of Arizona (GPA: 4.0/4.0) and am on track to complete my Bachelor’s degree just over 2 years (Fall 2025). As Founder & President of AI Club at UA, I run workshops, host invited speakers, and lead industry collaborations—raising $14K+ to support student AI research and education. In our CS department, I currently serve as both TA (Discrete Math I & II) and RA in CLULAB, IVILAB and ML4AI LAB.

My research focuses on NLP, mechanistic interpretability and reasoning. Specifically, I study how to build LMs reasoning robustly, improve reasoning speed through copying, analyze LLM planning in real-world tasks and uncover their reasoning mechanism with Sparse Autoencoders. I am fortunate to conduct research advised by Prof. Liangming Pan, Prof. Mihai Surdeanu and Prof. Kobus Barnard. In addition, I also collaborate with Prof. William Wang, Prof. Adarsh Pyarelal, and Prof. Chicheng Zhang.

I previously worked as a Machine Learning Engineer intern at CoreTechs. This summer, I was a research intern at Knowledge Engineering Group (KEG), Tsinghua University, supervised by Prof. Juanzi Li, working on LLM reasoning mechanisms.

🎓
PhD Applications – Fall 2026

I am applying to PhD programs in NLP, interpretability, and reasoning for Fall 2026. My goal is to develop LLMs that reason more robustly, efficiently, and transparently. If you’re working in this space, I’d love to connect!

💻Tech Stack

Python Git Java HTML5 CSS3 JavaScript Matlab AWS MySQL NodeJS Swift PHP Linux Azure

📊GitHub Stats :

Coffee Chat

To everyone, if you would like to chat about life, career plan, or research ideas related to AI/ML, feel free to email me (mingly@arizona.edu) to schedule a meeting. I will dedicate 30 mins every week for such meetings.

Pinned Loading

  1. RazvanDu/CopySpec RazvanDu/CopySpec Public

    Python 7

  2. GSM-DC GSM-DC Public

    This repository contains the GSM-DC benchmark and evaluation framework for analyzing how Large Language Models (LLMs) are distracted by irrelevant context in math reasoning tasks. GSM-DC constructs…

    Python 9 1