Julian Scott Yeomans
Julian is a Professor of Operations Management & Information Systems and the Program Director for both the Master of Management in Artificial Intelligence (MMAI) and the Master of Business Analytics (MBAN). He holds degrees in management science/information systems, environmental engineering, business, and statistics. He generally teaches courses on VBA programming and spreadsheet-based decision support systems. A strong proponent for curiosity-driven “discovery” research, his explorations have produced 6 books and more than 140 journal articles on a wide range of topics. This research is currently funded by an NSERC Civil, Industrial, and Systems Engineering Discovery Grant (2022-2027) and supported by a Schulich Research Excellence Fellowship (2024-27).
In collaboration with Mariia Kozlova from LUT University in Finland, Julian has guided their decomposition method, SimDec, into a pre-eminent position for conducting applied, “real world”, global sensitivity analysis. SimDec integrates a groundbreaking computational algorithm for identifying & quantifying factor impacts with (incredibly cool) visual uncertainty analytics. Recent studies have examined small modular nuclear reactors, 3D printing in construction, agricultural food-water-energy systems, breast cancer diagnosis, aviation electrification, and superconducting magnets at the CERN particle accelerator.
To promote the widest adoption and penetration of SimDec as possible, a downloadable free-of-charge electronic book, together with open-source computer code in Python, Julia, R, and Matlab and a “no-code-required” web dashboard, have been made freely available. As an antidote for inveterate somnambulists, various features of SimDec research are discussed in the video from Julian’s recent keynote talk at SIMULTECH 2025 in Bilbao, Spain. For a relatively lower-tech introduction to SimDec you can read the interview in the Schulich Research Newsletter.
