Summary
Cesare Piano is a researcher and PhD student in NLP/Computational Pragmatics based in Montreal with eight years of experience blending programming, mathematics, and applied research. Currently affiliated with Mila and McGill, he works at the intersection of language understanding and practical algorithm design, bringing rigorous statistical and CS training from Concordia. His background includes data science industry experience and academic roles—teaching and research assistance—that sharpen both his communication and reproducible-research skills. Cesare emphasizes concise, efficient algorithms and enjoys collaborating across teams to turn theoretical insights into usable models. He combines a passion for problem-solving with hands-on implementation experience, making him comfortable moving research prototypes toward real-world applications. A detail that sets him apart is his dual focus on computational pragmatics and pedagogy, giving him a knack for explaining complex models clearly while advancing novel NLP methods.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics, Statistics and Computer Science, Bachelor of Science - BS, Mathematics, Statistics and Computer Science at Concordia University
Master's degree, Master's degree at McGill University