Freda Shi
Scholar

Freda Shi

Google Scholar ID: jkDd-3QAAAAJ
Assistant Professor of Computer Science, University of Waterloo
Language GroundingMultilingualismComputational LinguisticsArtificial Intelligence
Citations & Impact
All-time
Citations
4,332
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
43
list available
Resume (English only)
Academic Achievements
  • For more details on publications, check out her personal publication list and the CompLING Lab at the University of Waterloo.
Research Experience
  • Currently an Assistant Professor in the Cheriton School of Computer Science at the University of Waterloo and a Faculty Member at the Vector Institute, also holding a Canada CIFAR AI Chair.
Education
  • Received a Ph.D. in Computer Science from the Toyota Technological Institute at Chicago in 2024, advised by Professors Karen Livescu and Kevin Gimpel, and supported by a Google Ph.D. Fellowship; completed a Bachelor's degree in Intelligence Science and Technology (Computer Science Track) in 2018 at Peking University, with a minor in Sociology.
Background
  • Research interests are in computational linguistics and natural language processing, working towards deeper understandings of natural language and the human language processing mechanism, as well as how these insights can inform the design of more efficient, effective, safe, and trustworthy NLP systems. Particularly interested in learning language through grounding, computational multilingualism, and related machine learning aspects.
Miscellany
  • Also an ELLIS advisor as a Canada CIFAR AI Chair.