Summary
Enamul Prince is an Associate Professor and director of the Intelligent Visualization Lab at York University who pioneers the intersection of Natural Language Processing and Information Visualization to make data science more accessible and responsible. Over nine years in academia and research, he has produced nearly 100 publications and developed influential benchmarks and models such as ChartQA, Chart-to-Text, and ChartGemma that have been cited by major multimodal systems including GPT-4 and Gemini. His work spans top venues in NLP, VIS, and HCI, has earned multiple awards, and helped shape community evaluation practices as an area chair and program committee member. A former Stanford postdoc and UBC Ph.D., he combines deep technical rigor with practical lab releases on GitHub that align closely with his papers, reflecting a commitment to reproducible, impact-driven research.
9 years of coding experience
12 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Memorial University, Newfoundland and Labrador
Doctor of Philosophy (Ph.D.), Computer Science (specialized in information visualization, HCI, and natural language processing), Doctor of Philosophy (Ph.D.), Computer Science (specialized in information visualization, HCI, and natural language processing) at The University of British Columbia
Bachelor of Science - BSc, Computer Science, Bachelor of Science - BSc, Computer Science at Chittagong University of Engineering & Technology
PostDoctoral Researcher, Computer Science, PostDoctoral Researcher, Computer Science at Stanford University
English, Bengali, Arabic