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Syed Ali Husain
Columbia University Health Sciences
$677,700
Attributed
$677,700
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $181.3K · FY2022–25$200K$150K$100K$50K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$677,700 · 1
By mechanism
K23$677,700 · 1
Top collaborators
No co-investigators on record.
Most similar at Columbia University Health Sciences
Same institution · by research overlap
- Megan Sykes$56,546,810
- Sumit Mohan$7,078,024
- Adam David Griesemer$6,227,976
- David H Sachs$52,326,282
- Kazuhiko Yamada$21,077,647
Others in their field
Other Rising Stars on “End Stage Renal Failure”
- Yu-Lun Liu · Ut Southwestern Medical Center$2,722,512
- Zhongwei Li · University Of Southern California$2,335,138
- Stan Jordan · Cedars-Sinai Medical Center$2,216,525
- Nils Olof Lindstrom · University Of Southern California$1,891,016
- Victor Gura · Wearable Artificial Organs, Inc.$1,867,003
- Mari-Karoliina Winkler · University Of Washington$1,772,161
Research focus
End Stage Renal FailureFederal GovernmentAreaCharacteristicsAccident And Emergency DepartmentEvaluationCognitiveBiopsyCohortCommunitiesConsumptionChest PainClinical DataCost Effective TreatmentCoupledData StandardsData VisualizationCognitive LoadDecision MakingDesignDialysis ProcedureDigit StructureDiscountingFrequencies
Grant awards (4)
Optimizing Deceased Donor Kidney Allocation Using Decision Science$181,332
K23 · FY2025 · DK · contact PI
Using Decision Making Science to Optimize Deceased Donor Kidney Allocation$165,456
K23 · FY2024 · DK · contact PI
Using Decision Making Science to Optimize Deceased Donor Kidney Allocation$165,456
K23 · FY2023 · DK · contact PI
Using Decision Making Science to Optimize Deceased Donor Kidney Allocation$165,456
K23 · FY2022 · DK · contact PI