Amina Lamghari

  • Adjunct Professor, Department of Mining and Materials Engineering, McGill University
  • PhD (Computer Science), 2008, University of Montreal, Canada
  • MSc (Applied Mathematics), 1996, Mohamed V University, Morocco
  • BSc (Applied Mathematics), 1995, Mohamed V University, Morocco
Current Research:
  • Mine planning and related optimization problems
  • Stochastic optimization with applications to open pit mine design and production scheduling
Research Interests:
  • Combinatorial optimization, heuristic methods, scheduling applications
  • Mathematical programming, generalized monotonicity, linear complementarity problems
Work Experience:
  • University of Avignon et des pays de Vaucluse, France, invited teacher-researcher, 2009
  • HEC Montreal, Canada, teaching assistant, 2008-2009
  • University of Montreal, Canada, teaching assistant, 2005-2009

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Lingqing Yao

  • Research Fellow
  • Ph.D. (Industrial Engineering), 2020, École polytechnique de Montréal, Montreal, Quebec, Canada
  • Ph.D. (Structural geology), 2008, Peking University, Beijing, China
  • M.Sc. (Geology), 2003, China University of Geosciences, Wuhan, China
  • B.Sc. (Geology) 2000, China University of Geosciences, Wuhan, China
Research Interests:
  • High-order stochastic simulation methods and resource modeling
  • Statistical learning, machine learning methods for spatial uncertainty analysis
Work Experience:
  • Assistant Professor, China University of Geosciences (Wuhan), China (July 2008 – present)
  • Software Engineer, Modern Zonkey Corp., Beijing, China (July 2003 – July 2004)

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Luis Montiel Petro

  • Adjunct Professor, Department of Mining and Materials Engineering, McGill University
  • Ph.D. (Mining Engineering), 2014, McGill University, Canada
  • Postgraduate formation in open pit mining, 2008, Ecole Nationale Superieure des Mines de Paris, France
  • B.Sc. (Mining Engineering), 2005, Universidad Nacional de Colombia, Colombia
Current Research:
  • Integration of open pit and underground operations in strategic mine planning under uncertainty
  • Metaheuristics / heuristics to solve large combinatorial optimization problems
Research Interests:
  • Stochastic global optimization of mining complexes
  • Combinatorial optimization in mine planning
Work Experience:
  • Research assistant, COSMO – Stochastic Mine Planning Laboratory, Montreal, Canada, 2009-2014
  • Internship in Mine Planning, Imerys Ceramic France, Z. I. de Beaujard, France, 2008
  • Mine Production Engineer, Argos Cement Company, Montebello, Colombia, 2005-2007

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Yassine Yaakoubi

  • Research Fellow
  • Ph.D. (Applied Mathematics), 2019, Polytechnique Montréal, Montreal, Quebec, Canada
  • M.Sc. (Applied Mathematics), 2017, Institut polytechnique de Grenoble, Grenoble, France
  • B.Sc. (Physics), 2015, Insitut polytechnique de Grenoble, Grenoble, France
  • yassine.yaakoubi@mcgill.ca
Research Interests:
  • Combinatorial optimization, heuristics and meta-heuristics, scheduling applications
  • Combination of machine learning methods and mathematical programming to solve large combinatorial optimization problems
  • Deep learning, structured prediction, reinforcement learning
Work Experience:
  • Group For Research in Decision Analysis (GERAD) & Montreal Institute for Learning Algorithms (MILA), Montreal, Canada, doctorate and master research, 2017-2019
  • Laboratory of Sciences for Design, Optimization and Production in Grenoble (G-SCOP), Grenoble, France, Internship, 2015-2016
  • Grenoble Images Speech Signal and Contrl (GIPSA-lab), Grenoble, France, 2014-2015

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Athénaïs Gautier

  • Research Fellow
  • Ph.D. (Statistics), University of Bern (Bern, Switzerland), Nov. 2018 – June 2023
  • M.Sc. (Applied Mathematics), University Paris Dauphine (Paris, France), 2017 – 2018
  • M.Eng. (Data Sciences and Statistics), Ecole des Mines de Saint-Etienne, 2015 – 2018
  • Preparatory classes, Lycée Henri IV (Paris, France), 2013 – 2015

 

Research interests
  • Uncertainty quantification
  • Stochastic emulation and stochastic simulation in spatial systems, Kernel methods, random fields
  • Non parametric modelling and estimation of conditional probability distributions

 

Past work experience
  •  Institute of statistics and actuarial sciences, University of Bern (Bern, Switzerland): Research and Teaching assistant 2018-2023
  • Idiap Research Institute (Martigny, Switzerland):  Research and Teaching assistant (shared affiliation with University of Bern), 2018-2020
  • Idiap Research Institute (Martigny, Switzerland): Research intern, 2018
  • ELM Leblanc SAS (Drancy, France): Data engineer intern, Summer 2017

 

athenais.gautier@mcgill.ca