Bahareh Sarrafzadeh
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Executive Summary
Bahareh Sarrafzadeh is a PhD candidate at the University of Waterloo with 12.2 years of work experience. He specializes in information extraction, computational linguistics, machine learning, algorithms, and semantic web. Bahareh's primary areas of interest include Exploratory Search, Knowledge Graphs, and User Experience. He is currently working on a new Information Seeking model that uses Knowledge Graphs to support exploration and users with complex search needs. Bahareh is actively involved in designing and implementing representations of information, conducting user studies, designing experiments, and analyzing data for User Experience. He has a strong background in Machine Translation and has implemented POPTA, a system for Persian, and
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Microsoft
senior applied scientist at office of applied research @ microsoft&Research Intern
senior applied scientist at office of applied research @ microsoft
Research Intern
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