A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis
Findings of the Association for Computational Linguistics: EMNLP 2025
Wadi, D., Fredette, M. (2025)
Bridging cutting-edge artificial intelligence research with strategic business applications.
I am an academic and technologist specializing in the intersection of artificial intelligence, machine learning, and quantitative marketing. My academic journey culminated in a Ph.D. in Marketing with a specialization in Artificial Intelligence from HEC Montréal, where my research received honors including the IVADO PhD Excellence Scholarship and a finalist position for the Best Thesis Award.
My active research agenda investigates the reliable evaluation of Large Language Models and the intersection of human behavior with financial incentives in digital commerce. Methodologically, I focus on advancing deep learning techniques, specifically around gradient descent optimization and behavioral analysis architectures. My work is published in leading academic journals and presented at premier machine learning conferences, including findings in the ACL Anthology and the Journal of Electronic Commerce Research.
Beyond research, I am dedicated to bridging technical complexity with business strategy through education and service. I designed the curriculum for the Master of Financial Technology program, equipping the next generation of leaders with rigorous AI literacy. I actively contribute to the scientific community as a peer reviewer for top tier conferences such as ICML, NeurIPS, and AISTATS, while also upholding research integrity as a member of the REB ethics board.
Specialization in Artificial Intelligence
HEC Montréal • 2023
Findings of the Association for Computational Linguistics: EMNLP 2025
Wadi, D., Fredette, M. (2025)
Journal of Electronic Commerce Research, Volume 27, Issue 2
Wadi, D., Legoux, R., Fredette, M., Sénécal, S. (2026)
A comprehensive curriculum designed to bridge the gap between technical AI implementation and strategic business value. Covering generative models, predictive analytics, and ethical deployment strategies.
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