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Ekansh Sharma

Graduate Student at the University of Toronto

Ekansh Sharma is a final year PhD candidate in the Department of Computer Science at the University of Toronto, where he is advised by Dan Roy.3 He joined the program in August 2019 and is currently pursuing his doctoral studies.1 Ekansh's research interests lie in the field of Deep Learning, which is listed as one of his areas of expertise.1

During his time at the University of Toronto, Ekansh has worked with several advisors and collaborators. His PhD advisors include Gintare Karolina Dziugaite (since 2022) and Daniel Roy (since 2018).1 He has also co-authored papers with researchers such as Devin Kwok, David Rolnick, and Tom Denton between 2022 and 2024.1

Ekansh's academic profile shows that he has published research papers, as evidenced by his Google Scholar page, where he is cited by other researchers in the field.2 His work at the University of Toronto likely involves assisting in research projects, collaborating with other scholars, and potentially helping with teaching duties as part of his PhD program.

It's worth noting that Ekansh uses the pronouns he/him and has multiple confirmed email addresses associated with the University of Toronto, indicating his active involvement in the academic community there.1

Highlights

Jan 1 · openreview.net
Ekansh Sharma | OpenReview
Alumni Spotlight: Ekansh Sharma - Patchwork Foundation

Related Questions

What are Ekansh Sharma's main research interests in deep learning?
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Ekansh Sharma
Ekansh Sharma, photo 1
Ekansh Sharma, photo 2
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Location

Greater Toronto Area, Canada