Boqi (Percy) Chen, Ph.D.

I received my PhD from the Department of Electrical and Computer Engineering (ece) at McGill University, supervised by Prof. Daniel Varro and Prof. Gunter Mussbacher. Additionally, I work as an R&D engineer at Aggregate Intellect through a Mitacs grant. My research focuses on applying model-based techniques to enhance the reliability and robustness of machine learning systems. I am also actively involved in projects evaluating the quality and properties of machine learning models for various software engineering tasks, such as model generation, bug detection, and code summarization. With the rapid advancements in large language models, I am exploring their potential in software engineering applications and to further improve their robustness and reliability. Particularly, I am interested in how to use various software engineering techniques for consistent and reliable integration of LLMs in domain-specific applications.

During my PhD, I was a part-time research associate at Huawei Waterloo Research Center through Quantum. Besides I’m also an active contributor to the open-source project Sherpa that aims to build a robust and easy-to-use large language model framework.

I also organize a bi-weekly (sometimes weekly) discussion group on graph neural networks and their applications. You can find the scedules here. If you are interested in joining, please subscribe to this calendar. We are also actively looking for new speakers, so if you are interested in presenting your work or any topics you are interested in, please feel free to reach out to me.