Maria S. Esipova (Preferred)
Maria S. Esipova
University of Waterloo
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@gmail.com
, ****@layer6.ai
, ****@uwaterloo.ca
Personal Links
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Education & Career History
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Undergrad student
University of Waterloo (uwaterloo.ca)
2018 – 2023
Advisors, Relations & Conflicts
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Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing