CV

Sean Grogan

EDUCATION:

Université de Montréal December 2015 (Expected)
Masters of Science, Computer Science (Operations Research)

• GERAD – Group for Research in Decision Analysis
• CIRRELT – Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
• COSMO – Centre of Stochastic Mine Optimization
• McGill University 2013

Bachelors of Engineering, Mining Engineering Co-op Program

SKILLS:

• Experience with mining software such as AutoCAD, Surpac, Whittle, and Minemax
• Proficiency using C++, Java, and Python programming languages
• Proficient in the IBM’s CPLEX and LPSolve optimization tools
• Trained in establishing and solving Linear, Integer, and Mixed Integer Programs, utilizing metaheuristics 

RELEVANT WORK EXPERIENCE:

Newmont Mining Corporation May– August 2013

• Co-Op Intern – Worked in the Mine Optimization Department at Newmont for strategic long range mine planning and feasibility studies.  Used Mixed Integer Programming techniques to develop optimization and mine planning tools using IBM’s CPLEX and C++.

Syncrude Canada Ltd January– August 2011

• Co-Op Intern – Worked in the Short Range Planning Team – Shovel Operations, Created and updated shovel limits, bench designs, Provided coverage for Full Time Shovel Planners during their absences, Developed and perfected new short and long term procedures using more advanced software

PROJECTS AND COURSES:

MIP Optimization of an Open Pit Mine January – August 2013

• Graduation Project – The objective of this project was to use the programming tool CPLEX to create an optimal schedule for an open pit mine. This optimization process includes: The development of code to read the ore body model and interpret it; Creation of the MIP model; Solve and interpret the results; use various optimization techniques

Mine Planning Optimization Under Uncertainty September – December 2012

• Student – Strategic mine planning and optimization under uncertain demand and supply. Modern optimization techniques in mine design and production scheduling. Metal supply and ore body modeling. Market forecasting and planning with flexibility. Valuing information. Stochastic mine optimization and applications in open pit and underground metal mines.