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Carlos Fernandez-Granda
New York University
$677,648
Attributed
$1,810,592
Total exposure
2
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $324.2K · FY2019–25$500K$375K$250K$125K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,810,592 · 2
By mechanism
R01$1,810,592 · 2
Top collaborators
- Heidi Schambra4 shared
- Mikel Hernaez3 shared
- Krishna Rani Kalari3 shared
- Karunya Kumar Kandimalla3 shared
Most similar at New York University
Same institution · by research overlap
- Adam Buchwald$3,558,231
- Tao Ma$9,693,036
- Weiqiang Chen$4,205,192
- Tomoko Kitago$244,231
- Robert Milton Sears$3,360,770
Others in their field
Other Emerging Leaders on “Alzheimer&Apos”
- Lance Allen Johnson · University Of Kentucky$7,508,882
- Hyacinth Idu Hyacinth · University Of Cincinnati$6,781,590
- Yi Su · Weill Medical Coll Of Cornell Univ$6,486,733
- Julia Tcw · Icahn School Of Medicine At Mount Sinai$6,079,215
- Jessica Brooke Langbaum · Banner Health$6,050,741
- Timothy Yikai Huang · Sanford Burnham Prebys Medical Discovery Institute$5,936,362
Research focus
Alzheimer&AposResearch PersonnelImpairmentImageInterestMeasurementMedicalDoseGeneticHandheld Mobile DeviceBiomedical ResearchInnovationLearningMachine Learning AlgorithmCaringDiagnosticCalibrationData SetClinical PracticeDue ProcessBaseGenomicsClassificationDisability
Grant awards (7)
CRCNS: Deep Learning to Discover Neurovascular Disruptions in Alzheimer's Disease$289,769
R01 · FY2025 · AG
CRCNS: Deep Learning to Discover Neurovascular Disruptions in Alzheimer's Disease$296,661
R01 · FY2024 · AG
CRCNS: Deep Learning to Discover Neurovascular Disruptions in Alzheimer's Disease$324,162
R01 · FY2023 · AG
Learning invariant representation from high- dimensional data for quantitative stroke reha$299,999
R01 · FY2022 · LM · contact PI
Learning invariant representation from high- dimensional data for quantitative stroke reha$1
R01 · FY2021 · LM · contact PI
Learning invariant representation from high- dimensional data for quantitative stroke reha$300,000
R01 · FY2020 · LM · contact PI
Learning invariant representation from high- dimensional data for quantitative stroke reha$300,000
R01 · FY2019 · LM · contact PI