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CSPS Digital Academy Events/Tackling Data Bias in Artificial Intelligence - Speaker Biographies (view source)
Revision as of 16:50, 18 August 2021
, 16:50, 18 August 2021→Speaker Biographies
Brent holds a Master’s in Public Policy from the University of Toronto, as well as a Bachelor’s in Media Studies from Western University.
Brent holds a Master’s in Public Policy from the University of Toronto, as well as a Bachelor’s in Media Studies from Western University.
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[[File:Sevgui Erman Headshot.jpg|frameless|center]]
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=== Sevgui Erman ===
'''Director, Chief Data Scientist, Statistics Canada'''
Sevgui Erman is Chief Data Scientist and Senior Director of Data Science at Statistics Canada. She is passionate about technology, big data, artificial intelligence (AI), and its use for public good. She has experience in developing algorithms and systems in the private, public and academic sectors. Prior to joining Statistics Canada, Sevgui worked as technical project manager within Ericsson 4G Wireless LTE as well as Nortel Networks Optical R&D. She has experience in bringing academic research into practical applications. Sevgui holds a PhD from the University of Paris-Sud in Signal processing & System control, two areas that have strong links to AI.
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In early 2018 Sevgui has spearheaded the creation of a machine learning (ML)/AI solutions Hub within Statistics Canada, i.e. the Data Science Accelerator (DSA). Its purpose: to build data science capacity within the organization by solving concrete problems & delivering practical results that enable clients to move forward confidently with big & unstructured data. The DSA operated as a start-up, entirely business needs driven, on a cost-recovery basis, taking advantage of entrepreneurship best practices, catalyzing culture change through delivery of small wins, building confidence and trust in the new methods. In Sep 2019, Sevgui was appointed as the Senior Director of the new Data Science Division, created to provide an R&D nucleus for the exploration and the application of data science within the Agency. The division deploys specialized multidisciplinary expertise in the latest open source, hardware and Cloud service techniques to tackle projects employing deep learning, Natural Language processing, image processing, privacy preserving technics and information retrieval methods.
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