Summary
Ashkan Ebadi is a multidisciplinary data science researcher and Senior Research Officer at the National Research Council Canada who combines over a decade of industry experience with deep academic credentials, including a PhD in information systems engineering and postdoctoral work in health informatics at the University of Florida. He designs AI-powered decision support systems and scalable big-data analytics, bridging problem definition to production across domains such as health informatics and graph analytics. Adjunct and affiliate faculty roles at the University of Waterloo and Concordia keep him connected to cutting-edge research and talent development, while past industry roles—like Lead Data Scientist at Pratt & Whitney Canada—demonstrate applied impact. His work often blends machine learning, NLP and social/graph network analysis to solve operational and clinical problems, and he has a track record of delivering practical decision-support tools (for example, surgical team optimization) informed by heuristic and predictive methods. Based in Montreal, he brings a rare mix of rigorous academic research, hands-on engineering, and policy-facing public research experience.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Information Systems Engineering, 3.97 / 4.3, Doctor of Philosophy (PhD), Information Systems Engineering, 3.97 / 4.3 at Concordia University
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Shahid Beheshti University
Master's degree, Systems Engineering, Master's degree, Systems Engineering at Mazandaran University
Certificate, French for Professionals, Certificate, French for Professionals at Queen's University
Diploma, Physics & Mathematics, Diploma, Physics & Mathematics at Alborz Highschool
French, English, Persian