Allyson is a highly motivated mining and mineral processing engineer with 13 years of experience with a background primarily in comminution and flotation optimization utilizing advanced process controls and expert systems.
She completed a Masters of Data Science from the University of British Columbia to hone and utilize her data science skills and subject matter expertise to transform the mining industry.
Her research interests are concentrated on decentralized task allocation for haulage fleets and the use of advanced simulation and optimization for data-driven decision support.
View her resumé.
Masters of Data Science
University of British Columbia
BSc in Metallurgical Engineering
Missouri University of Science and Technology
MINE 350: Modeling and Simulation (3 credits).
This course introduces several modeling and simulation techniques used to design or modify mining and mineral processing systems. Students will obtain hand-on experience with the simulation program AnyLogic.
The main learning outcome is an understanding of the principles and limitations of available analytical and discrete methods that are useful in engineering practice. Other specific learning outcomes are listed below: