← Leaderboards
Gaurav Pandey
Icahn School Of Medicine At Mount Sinai
$3,570,788
Attributed
$4,242,544
Total exposure
4
Grants
4
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 $1.3M · FY2015–23$2M$1.5M$1M$500K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$4,242,544 · 4
By mechanism
R01$2,983,531 · 2
U01$1,005,513 · 1
R21$253,500 · 1
Top collaborators
- Avner Schlessinger2 shared
- Bian Liu1 shared
- Nita Vangeepuram1 shared
Most similar at Icahn School Of Medicine At Mount Sinai
Same institution · by research overlap
- Clifford J Rosen$37,701,781
- Liangyuan Hu$3,122,629
- Joel Stein$2,463,015
- Lina Jandorf$2,617,194
- Nicole Zatorski$182,232
Others in their field
Top investigators on “Predictive Modeling”
- Everette D Joseph · Howard University$250,328,248
- Eric J Barron · Pennsylvania State Univ University Park$246,372,016
- Valerie Koch · University Corporation For Atmospheric Res$243,972,016
- Antonio J Busalacchi · University Of Maryland, College Park$243,972,016
- Anders Ryd · Cornell University$106,514,938
- Richard Leonard · Battelle Memorial Institute$83,835,536
Research focus
Predictive ModelingBaseComputer SoftwareComputing MethodologiesInnovationData SetPerformanceCharacteristicsProgramsLearningLaboratoriesResearch PersonnelDesignGenomicsValidationPhenotypeCohortVariantMedicalMalignant NeoplasmsMemberMachine LearningMethodologyFlexibility
Grant awards (9)
Integrating genomic and clinical data to predict disease phenotypes using heterogeneous ensembles$605,218
R01 · FY2023 · HG · contact PI
Multi-modal data integration to identify kinase substrates$507,000
U01 · FY2023 · CA · contact PI
Integrating genomic and clinical data to predict disease phenotypes using heterogeneous ensembles$535,451
R01 · FY2022 · HG · contact PI
Multi-modal data integration to identify kinase substrates$498,513
U01 · FY2022 · CA · contact PI
Development of a Simple Youth Diabetes Screening Tool Using Machine Learning$253,500
R21 · FY2022 · DK · contact PI
Integrating genomic and clinical data to predict disease phenotypes using heterogeneous ensembles$539,951
R01 · FY2021 · HG · contact PI
Boosting the Translational Impact of Scientific Competitions by Ensemble Learning$428,512
R01 · FY2017 · GM · contact PI
Boosting the Translational Impact of Scientific Competitions by Ensemble Learning$428,512
R01 · FY2016 · GM · contact PI
Boosting the Translational Impact of Scientific Competitions by Ensemble Learning$445,887
R01 · FY2015 · GM · contact PI