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Nazlee Zebardast
Massachusetts Eye And Ear Infirmary
$2,803,660
Attributed
$2,803,660
Total exposure
3
Grants
3
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 $943.7K · FY2021–25$1M$750K$500K$250K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,803,660 · 3
By mechanism
R01$1,308,057 · 1
K23$1,002,772 · 1
R21$492,831 · 1
Top collaborators
No co-investigators on record.
Others in their field
Other Emerging Leaders on “Glaucoma”
- Balasubramani K Goundappa · University Of Pittsburgh At Pittsburgh$8,538,627
- Krishnakumar Kizhatil · Columbia University Health Sciences$4,080,371
- Lisa A. Hark · Columbia University Health Sciences$4,022,440
- Ayellet Vered Segre · Massachusetts Eye And Ear Infirmary$3,794,243
- Adeyinka O Ashaye · College Of Medicine, University Of Ibadan$3,472,232
- Ji Yi · Johns Hopkins University$3,418,674
Research focus
GlaucomaCohortBlindnessMulti-EthnicMachine Learning MethodMeta-AnalysisImageGenetic VariantGenomicsHigh RiskMachine LearningDiagnosisDisease ProgressionDisorder RiskGeneticGenome Wide Association StudyGenetic AssociationGenetic RiskDetectionGenomic DataInsightData SetBiobankOptical Coherence Tomography
Grant awards (8)
Enhancing Glaucoma Risk Prediction through Advanced Genomics and Machine Learning$592,959
R01 · FY2025 · EY · contact PI
Enhancing Glaucoma Risk Prediction through Advanced Genomics and Machine Learning$715,098
R01 · FY2024 · EY · contact PI
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations$228,639
K23 · FY2024 · EY · contact PI
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations$247,931
K23 · FY2023 · EY · contact PI
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations$263,101
K23 · FY2022 · EY · contact PI
Sociodemographic predictors of healthcare utilization and adverse outcomes in Medicare beneficiaries with glaucoma$205,304
R21 · FY2022 · EY · contact PI
Sociodemographic predictors of healthcare utilization and adverse outcomes in Medicare beneficiaries with glaucoma$287,527
R21 · FY2021 · EY · contact PI
Glaucoma Risk Prediction Using Machine Learning Integration of Image-Based Phenotypes and Genetic Associations$263,101
K23 · FY2021 · EY · contact PI