Canadian Society of Technical Analysts

Toronto Chapter March Meeting

  • 08 Mar 2017
  • 12:00 PM - 2:00 PM
  • Toronto CFA Society Classroom, Suite 701, 120 Adelaide St. W, Toronto
  • 5


Toronto Chapter of The Canadian Society of Technical Analysts

Note that seating is limited. If you plan to attend please register by the end of the day on Monday, March 6. 

Speaker:  Siavash Kazemian Mr. Kazemian is a PhD candidate at the University of Toronto's Department of Computer Science. His research focuses on applications of natural language processing (NLP) and machine learning to perform tasks in the financial domain. These include both automated tasks such as automatic trading algorithms, and user-centric systems that help investment management professionals most effectively use the plethora of incoming information in their analysis.

Prior to his PhD, Siavash had worked at investment firms and technology companies such as Morgan Stanley, Redknee and PharmaTrust. He hold a MSc in computer science, and a BASc in electrical and computer engineering, both from University of Toronto.

Topic:  Siavash Kazemian, PhD candidate at the University of Toronto's Department of Computer Science, will be giving an overview of his research in how to apply NLP (Natural Language Processing) technology to solve real-word problems in the financial domain.  Kazemian will describe some recent advances in NLP research that have great potential to assist several tasks in the financial domain such as information seeking and automatic trading.  He will demonstrate that directly incorporating domain knowledge about financial tasks in the NLP algorithms will lead to more effective solutions.  Kazemian will provide an outlook on where the field is headed and how such advances can be leveraged.

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