I am a computer scientist and engineer interested in all aspect of data management: from performance considerations in query execution and optimization, to debuggability, data interface design, and applications. I focus on building and analyzing data management systems and value highly in-the-wild deployments to end-users.
I work with Distyl AI as it allows me to think about research problems starting from product requirements and end-user pain points. Previously, I worked on GraphflowDB, a research prototype I built for my Ph.D. thesis, and on its successor Kùzu, a startup spinoff from the University of Waterloo.
I am actively looking for master’s and Ph.D. students. If you are a student at Polytechnique interested in working with me, email me with ‘polymtl’ in the subject.
I aspire to build usable and open-source data management systems to tackle:
Amine Mhedhbi is an assistant professor at Polytechnique Montréal and a researcher at Distyl AI. His interests are in building and analyzing data management systems; his work includes tackling performance considerations and debuggability, interface design, and applications. Amine received his Ph.D. in 2023 from the University of Waterloo. His research has been awarded a VLDB Best Paper Award, a Microsoft Ph.D. Fellowship Award, a Meta Ph.D. Fellowship Finalist, and a David R. Cheriton Graduate Scholarship.