Representations Lab

Welcome to the Representations Lab at the University of Alberta.  We study how computer models (typically backed by Deep Neural Networks, DNNs) learn to represent their input data, and how those representations are (or are not) similar to the way the brain represents the same inputs.  We study language primarily, but have explored similar ideas for visual processing. 

For more information, see Dr. Fyshe's personal page, or her Google Scholar page.

If you're interested in joining the lab, see this page.

Current Members

Students

• Rohan Saha (MSc, PhD Computing Science)

• Saeed Najafi (PhD Computing Science)

• Linsage (Sijie) Ling (MSc, PhD Psychology)

• Varshini Prakash (MSc Computing Science)

• Spencer von der Ohe (MSc, Computing Science)

• Daniela Teodorescu (MSc,  Computing Science)

• Cory Efird  (MSc,  Computing Science)

Post Docs

• Brea Chouinard

• Richard Gerum

• Alex Murphy

• Tom Ferguson

Undergrads / RAs

• James McKinnon

• Grace Zhu

• Melih Keskin

• Parham Golestaneh Talaei 

• Soumyadeep Pal 

Past Members

• Natalie Hanas (BSc, Psychology)

• Alessandra Crerar (BSc, Psychology)

• Bilal Ghanem (PostDoc)

• Dhruv Mullick (MSc Computing Science)

• Dawn McKnight (MSc Computing Science)

• Mitchell Holmes (Ugrad)

• Liam Peet-Pare (MSc, Statistical Machine learning) (Co-supervised with Nidhi Hegde)

• Cassidy Pirlot (MSc, Statistical Machine Learning)

• Archit Sakhedo (MSc Computing Science) (Co-supervised with Adam White)

• Marayam Hashemzadeh (MSc Computing Science) (Co-supervised with Martha White)

• Jeong Ung Song (BSc, Psychology)

• Qingfeng Lan (MSc Computing Science)

• Maryam Honari-Jahromi (MSc Computing Science,  University of Victoria)

• Cole Peterson (MSc Computing Science,  University of Victoria)

• Chris Foster (MSc Computing Science,  University of Victoria)

• Dhanush Dharmaretnam (MSc Computing Science,  University of Victoria)