Grant: Canada Research Chairs
University of British Columbia
$100,000.00
Data Science
FY 2020-21
Summary
New connections between mathematics and applied data analysis have facilitated new methods of data collection and interpretation. This has led to a fundamentally new method of magnetic resonance imaging (MRI), with remarkable improvements in image quality and speed of image acquisition. The key is to understand the structure of the signal lurking in the data -- in many cases this signal belongs to a complex, yet low-dimensional, set. I study these structures, how they behave under various forms of measurement acquisition, and how to take advantage of their low dimensionality to make inferences in a computationally efficient manner.
Program
Canada Research Chairs
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
1000232526
Name nom
Plan, Yaniv
Department département
University of British Columbia
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2019
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2950
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Applied mathematics
Research subject fr
Mathématiques appliquées
Partie
0
Nb partie
0
Application title
Data Science
Keyword
NSERC
Application summary
New connections between mathematics and applied data analysis have facilitated new methods of data collection and interpretation. This has led to a fundamentally new method of magnetic resonance imaging (MRI), with remarkable improvements in image quality and speed of image acquisition. The key is to understand the structure of the signal lurking in the data -- in many cases this signal belongs to a complex, yet low-dimensional, set. I study these structures, how they behave under various forms of measurement acquisition, and how to take advantage of their low dimensionality to make inferences in a computationally efficient manner.
