Farzi is an experienced hardware and software engineer having implemented machine learning solutions to legacy industries (like retail and telecom).   

 Her undergraduate degree from the University of Waterloo in nanotechnology engineering (and quantum computing) informs her ability to deploy creative solutions to hard problems. Farzi's many years working with real data to produce ML systems that meet strict KPIs is a consequence of the math background required to create such custom protocols.

With a personal history with mining, creating a new standard for resource modeling and estimation was a natural progression of this work. Here's an example of how Stratum's technology is applied to a client's mine.

Farzi Yusufali

Presenting on

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  • 11:00
  • Wed, 02 Nov
  • 11:00 - 13:00 AEDT
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  • 120 min
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  • Wed, 17 Aug
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  • Mining Innovation
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  • Mining Innovation Theatre

Minerals Processing & Refining

  • 11:00 - 13:00
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  • 5 min
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  • Wed, 02 Nov
Welcoming Remarks
  • 11:00 - 13:00
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  • 20 min
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  • Wed, 02 Nov
Mining Interview
  • 11:00 - 13:00
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  • 20 min
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  • Wed, 02 Nov
Real Time Optimised Processing Plants – Now and the Future
  • 11:00 - 13:00
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  • 20 min
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  • Wed, 02 Nov
Ore-Type Classification and Modeling Using Multi-Element Assay Data
  • 11:00 - 13:00
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  • 20 min
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  • Wed, 02 Nov
Metso Outotec
  • 11:00 - 13:00
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  • 20 min
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  • Wed, 02 Nov
Selection is Most Important
  • 11:00 - 13:00
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  • 15 min
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  • Wed, 02 Nov
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