Allyson is a highly motivated mining and mineral processing engineer with 15 years of experience. Her background is 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.
MS Data Science
2021
2022
The University of British Columbia
BS Metallurgical Engineering
2006
2011
Missouri University of Science & Technology
AIDE Canada
Ausenco
Member of the Global Operations Optimization team supporting operating sites worldwide.
Improved comminution circuit throughput and stability by identifying optimal operating parameters using existing equipment.
Delivered data-driven diagnostics and practical implementation strategies to site teams.
The University of British Columbia
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: * How to use common probability models to characterize and model random behavior and uncertainty in mineral resources systems or industrial systems in general.
How to apply queuing models to the design of haulage fleets and other material handling systems.
The ability to develop continuous models of industrial processes.
The ability to develop discrete event and discrete rate models of industrial systems.
How to interpret model results to infer their design implications and effective communication of such implications to a managerial audience.
Stream Systems
Teck Resources Ltd.
Managed the artificial intelligence co-op program, including developing curricula, interviewing candidates, securing team placements and mentoring participants as internal program coordinator; coached Athena Pathways mentees, recruited other mentors.
Developed a material movement simulation for deep reinforcement learning to optimize a long-range technology deployment strategy with multiple competing objectives.
Provided change management and processing systems expert support for advanced analytics, machine learning modeling and optimization for the Red Dog Operations Mill Optimization project.
Extended systems expert support for advanced analytics, machine learning modeling and optimization for the Highland Valley Copper Mill Optimization Analytics project.
Teck Alaska Inc.
Created SAG circuit advanced process control logic based on old logic from OCS 9.1 for the new OCS-4D application, including programming, defining dynamic circuit constraints for bottleneck detection, and active evaluation of control performance.
Commissioned a $500K VisioFroth system, enabling real time optimization of the zinc rougher circuit.
Directed $500K of major modifications to the copper sulfate reagent dosing system, resulting in decommissioning 50% of the active copper sulfate reagent dosing tanks and removal of an unsafe operating condition.
Optimized maintenance and reduced operational costs by compiling and analyzing data for M5000 Isamill wear parts.
Selected for additional leadership training through Teck’s “Leading for Excellence” program to develop coaching skills.
Teck Alaska Inc
Teck Resources Ltd.
Teck Alaska Inc.
The University of British Columbia
Missouri University of Science & Technology