Quantum 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.
Alyssa Menezes: working on self-supervised learning (SSL) techniques for Quantum Computing, Mazankowski Award, Summer 2025- on going
Brett Siemens: working on LLM confirmation bias, Mazankowski Award, Summer 2025- on going
Chisom Chiobi: worked on AI in Computer Science Education, Directed Study, Fall 2025
Kaeden Hartman: worked on Computer Security and Vulnerabilities, Directed Study, Fall 2025;
Katie Stobbe: worked on Quantum Computing, Summer 2025
Timi Aina: worked on MMIWG representation in Canadian Media, NSERC Black student researcher award, Summer 2025;
Harsh Darji: worked on Large Language Models, URA, 2023-25. First Place in the Augustana 3-Minutes Thesis competition, Mazankowski Award, Summer 2025;
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; (Next: Master: Tilburg University)
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; (Next: Master, ETH Zurich)
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; (Next: Master, University of Calgary)
Willis Kneeland: worked on the Classification of Git Commits, Mazankowski Award, Summer 2023; (Next: Full Stack Developer, Simply Embedded)
Diany Pressato: worked on Exploring Complexity, Coding behaviors, and Bugs in Jupyter Notebooks. (Next: Master, Concordia University)