Summer Math, Physics, and Computing Seminars are on going!
I am an assistant professor in the Department of Science at Augustana Campus. Before joining Augustana, I worked as a postdoctoral fellow at the University of Waterloo, where I received my PhD and MSc degrees. My research lies at the crossroads of software engineering and artificial intelligence, with a focus on using AI to help software developers build high-quality software.
https://www.ualberta.ca/augustana/news/2023/01/harnessing-ai-to-catch-bugs-lutellier.html
I am a Master’s student in Computing Science at the University of Alberta, my research focuses on the application of machine learning techniques to software engineering problems. Currently I am working on a bug detection model to detect bugs at the level of cells in notebook code.
I am entering my fourth year of Computing Science and Applied Mathematics at the University of Alberta. My current research explores how large language models respond to non-buggy code snippets when explicitly prompted to "fix" them. I hope this research contributes to a better understanding of how AI models process code and supports the future development of more reliable automated software repair.
I am entering my second of Computing Science at the University of Alberta. My research explores how self-supervised learning (SSL) techniques—like masked language modeling and contrastive learning—can adapt large language models (LLMs) to quantum computing tasks where labeled data is scarce. The goal is to improve AI’s ability to generate quantum algorithms, explain quantum phenomena, and process technical texts with minimal supervision.
I am a fourth-year student majoring in Computing Science and Applied Mathematics at the University of Alberta. My current research applies computational methods to analyze how Canadian news media represent Missing and Murdered Indigenous Women and Girls (MMIWG). By integrating data science methods with discourse analysis, I hope to identify systemic biases and trends in Canadian news coverage.
I'm a fourth-year Computing Science and Mathematics major with a research focus on large language models (LLMs). I was awarded The Mazankowski Award by the Augustana Research Committee in support of my ongoing work to enhance LLMs’ ability to manage ambiguous coding-related user input. My research aims to improve their capacity to ask meaningful, context-aware clarification questions to better interpret user intent.
MingLiang Wang: worked on Algorithms in UAVs, Directed Study, Winter 2025
Anthony Hani: worked on Algorithms in UAVs, Directed Study, Winter 2025
Jackie Yang: worked on Algorithms in UAVs, Directed Study, Winter 2025
Zara Ezeasor: worked on MMIWG representation in Canadian Media, Second Place in the Augustana 3-Minutes Thesis competition, NSERC Black student researcher award, Summer 2024;
Xiaofei Yu: worked on A study of bugs in Data Science Systems, University of Alberta Research Experience, Summer 2024;
Nathan Yan: worked on Toxicity in Open-Source Projects, Summer 2024;
Daniel Kirivita: worked on Computer Security and Vulnerabilities, Directed Study, Winter 2024;
Harsh Darji: worked on Mining and Analysis Kaggle Notebooks, Fall 2023 and Winter 2024;
Shadi Khalil: worked on Large Language Models and Transformers, Directed Study, Fall 2023;
Wenyuan Jiang: worked on Exploring Complexity, Coding behaviors, and Bugs in Jupyter Notebooks, China Scholarship Council URI Program, Summer 2023;
Priscilla Adebanji: worked on Using AI for Automating Bird Observation, Winner of the Augustana 3-Minutes Thesis competition, ScotiaBank URI Stipend to support BIPOC students at the forefront of STEM research, Summer 2023;
Israel Oni: worked on Sentiment Analysis with AI of GitHub Issues, NSERC Black student researcher award, Summer 2023;
Willis Kneeland: worked on the Classification of Git Commits, Mazankowski Award, Summer 2023;
Diany Pressato: worked on Exploring Complexity, Coding behaviors, and Bugs in Jupyter Notebooks.