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Molly Martorella
Columbia University Health Sciences
$143,798
Attributed
$143,798
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 $51.8K · FY2020–22$100K$75K$50K$25K$0
'20
'21
'22
Funding mix
By agency
NIH$143,798 · 1
By mechanism
F30$143,798 · 1
Top collaborators
No co-investigators on record.
Most similar at Columbia University Health Sciences
Same institution · by research overlap
- Richard Mayeux$113,943,785
- Angela M Christiano$35,497,344
- R Graham Barr$40,525,821
- Ana V Diez Roux$39,890,038
- Bernadette Marie Boden-Albala$14,871,232
Others in their field
Other Emerging Leaders on “Architecture”
- Arnab Kumar Chatterjee · Washington University$22,541,385
- Scott Topper · Broad Institute, Inc.$20,735,000
- Rachana Agarwal · Leidos Biomedical Research, Inc.$15,241,462
- Robert J Woods · Virginia Polytechnic Institute And State University$12,760,318
- John Otridge · Leidos Biomedical Research, Inc.$12,071,178
- Benedict Paten · University Of California Santa Cruz$11,912,519
Research focus
ArchitectureBenchmarkingBiologicalBiological FactorsBlood SpecimenCellsCell TypeChildClinicClinical CareClinical DataCohortComparativeComplexComputing MethodologiesCostDiagnosticDisorder PreventionDisorder RiskEnrollmentEnsureEnvironmental ImpactEnvironmental Risk FactorAffect
Grant awards (3)
Experimental and Computational Methods for Scaling-up Transcriptome Analyses and Improving Disease Risk Predictions$51,752
F30 · FY2022 · HG · contact PI
Experimental and Computational Methods for Scaling-up Transcriptome Analyses and Improving Disease Risk Predictions$46,521
F30 · FY2021 · HG · contact PI
Experimental and Computational Methods for Scaling-up Transcriptome Analyses and Improving Disease Risk Predictions$45,525
F30 · FY2020 · HG · contact PI