About
I am an Associate Professor at żě˛ĄĘÓƵ, Canada, and Director of the . Before joining York, I was a Postdoctoral Fellow at with and earned my Ph.D. in Computer Science from the under the supervision of .
My research aims to democratize data science and analytics by integrating information visualization, natural language processing (NLP), and human–computer interaction (HCI) to make data exploration more accessible, inclusive, and responsible. Our recent work advances multimodal large language models (LLMs) and agentic frameworks that connect language, vision, and interaction—producing influential and widely adopted benchmarks and models for data visualization and analytics.
My research has appeared in nearly 100 papers across leading venues in NLP (ACL, EMNLP, COLM), visualization (IEEE VIS, EuroVis), and HCI (CHI, UIST), earning multiple Best Paper and Honorable Mention awards, as well as the Dean’s Award for Research Excellence. I serve as an Area Chair for the and on the IEEE VIS program committee, and have co-organized several tutorials and panels at major international conferences, including IEEE VIS (2022–2025) and EMNLP 2023.
My research is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), and the National Research Council Canada (NRC), among others.
