Allyson Stoll ☕️

Allyson Stoll

(she/they)

Mining Generalist ⛏️

AI Strategist & Evangelist 💻

Neurodivergent Unicorn 🦄

Professional Summary

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.

Education

MS Data Science

2021
2022

The University of British Columbia

BS Metallurgical Engineering

2006
2011

Missouri University of Science & Technology

Interests

Artificial Intelligence Reinforcement Learning Swarming Technology

Experience

Director of Operations

AIDE Canada

  • Establish trust, stabilize day-to-day operations, identify operational gaps, and position AIDE with a clear path for organizational longevity and success by strengthening operational resiliency.

Senior Process Consultant

Ausenco

  • 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.

Sessional Instructor

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.

Simulation Manager

Stream Systems

The primary tenants of this role are solving business problems by understanding the processes behind the data and developing agent-based simulation models and engines from research/proof-of-concept through to final product delivery.

Lead, Technology & Innovation

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.

Project Metallurgist

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.

Operating Engineer (EIT)

Teck Alaska Inc

  • Trained and mentored two engineers transitioning into the Operating Engineer role to allow me to shift into a new position for technical development.
    • Maximized water discharge under tight seasonal constraints through collaboration with Mill Operations while adhering to strict regulatory compliance requirements.

Metallurgical Engineer, EIT

Teck Resources Ltd.

  • Led a team to commission an M1000 Isamill regrind circuit for a new copper-molybdenum bulk flotation plant by communicating effectively with contractor, technical, operating and maintenance groups.
    • Optimized & debottlenecked the high-grade cleaning and recleaner circuits with minimal process changes by utilizing existing equipment.
    • Coordinated with operating and maintenance groups to achieve 80% Isamill utilization within six months of commissioning and three months ahead of schedule.

Operating Engineer (EIT)

Teck Alaska Inc.

  • Optimized daily metallurgical performance by setting effective targets, evaluating changing process conditions and collaborative effort with the mill operations crews.
    • Communicated efficiently with technical, operating and maintenance groups to minimize resource losses.
    • Coordinated staggered column conversions to Eriez Cav-Tubes from Microcel static mixers as part of a change management strategy to mitigate mass failure risk at the end of the part wear life.
    • Designed and completed a testing campaign to determine lead column performance pre- and post-installation of a new wash pan design that improved flotation column performance by decreasing gangue entrainment.

Education

MS Data Science

The University of British Columbia

BS Metallurgical Engineering

Missouri University of Science & Technology

Talks & Panels

The Future of Mining: What do Mining and the Game of Go Have in Common?

Presentation for Carbon Tracking and Reporting Canada 2022

Steel Caps and Hard Hats: Building the Future of Work from the Frontline featured image

Steel Caps and Hard Hats: Building the Future of Work from the Frontline

Panel discussion at Future of Mining Americas 2022

Flotation Optimization Using Froth Characteristics featured image

Flotation Optimization Using Froth Characteristics

Hackathon Challenge for Unearthed Vancouver 2017.

avatar
Allyson Stoll
Improving Concentration Performance Through Big Data: A Process and Lessons Learned featured image

Improving Concentration Performance Through Big Data: A Process and Lessons Learned

Presentation for Digitization in Mining North America 2022.

Installation and Utilization of Froth Cameras to Optimize Flotation Performance featured image

Installation and Utilization of Froth Cameras to Optimize Flotation Performance

Presentation for the Alaska Miners Association Annual Fall Convention.

Featured Publications
(2024). Vehicle Allocation System.