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Emily Miraldi
Icahn School Of Medicine At Mount Sinai
$6,114,958
Attributed
$12,229,915
Total exposure
5
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 $2.6M · FY2020–25$5M$3.8M$2.5M$1.3M$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$12,229,915 · 5
By mechanism
U01$5,765,935 · 1
R01$5,581,110 · 2
R56$445,620 · 1
R21$437,250 · 1
Top collaborators
- Artem Barski6 shared
- Ivan Marazzi6 shared
- Minji Byun3 shared
- Ian Paul Lewkowich2 shared
Most similar at Icahn School Of Medicine At Mount Sinai
Same institution · by research overlap
- Ivan Marazzi$13,016,096
- Magdalena Janecka$3,928,758
- Abraham Reichenberg$11,905,270
- Eric J Nestler$73,310,132
Others in their field
Other Emerging Leaders on “Immune Response”
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$143,577,666
- Kevin Urdahl · Seattle Children'S Hospital$85,664,942
- Ted Ross · University Of Georgia$74,507,826
- Yunda Huang · Fred Hutchinson Cancer Center$72,098,149
- Sarah Fortune · Harvard School Of Public Health$51,119,645
- Scott Hensley · University Of Pennsylvania$49,058,212
Research focus
Immune ResponseMediatingNetwork ModelsAutomobile DrivingGenesImmuneTranscription FactorMolecularCellsChromatinGene ExpressionEngineeringRisk VariantResponseBindingInfectionMathematical ModelSingle-Cell Rna SequencingGenomicsGene Regulatory NetworkMapsEnhancersEpigenetic ProcessExperimental Study
Grant awards (17)
Gene regulatory network modeling of disease-associated DNA methylation perturbations$762,041
R01 · FY2025 · AI · contact PI
An experimentally-refined, dynamic gene regulatory network model of T-cell memory$633,135
R01 · FY2025 · AI
Dynamic regulatory network models of human response to influenza virus$1,058,296
U01 · FY2024 · AI
Gene regulatory network modeling of disease-associated DNA methylation perturbations$777,925
R01 · FY2024 · AI · contact PI
An experimentally-refined, dynamic gene regulatory network model of T-cell memory$668,617
R01 · FY2024 · AI
Dynamic regulatory network models of human response to influenza virus$1,072,559
U01 · FY2023 · AI
Gene regulatory network modeling of disease-associated DNA methylation perturbations$810,398
R01 · FY2023 · AI · contact PI
An experimentally-refined, dynamic gene regulatory network model of T-cell memory$687,634
R01 · FY2023 · AI
Dynamic regulatory network models of human response to influenza virus$907,705
U01 · FY2022 · AI
An experimentally-refined, dynamic gene regulatory network model of T-cell memory$703,828
R01 · FY2022 · AI
Dynamic regulatory network models of human response to influenza virus$304,014
U01 · FY2022 · AI
Preconceptual paternal allergen exposure, offspring asthma, and pulmonary gamma/delta T cell function$198,750
R21 · FY2022 · AI
Dynamic regulatory network models of human response to influenza virus$1,221,095
U01 · FY2021 · AI
An experimentally-refined, dynamic gene regulatory network model of T-cell memory$537,532
R01 · FY2021 · AI
Preconceptual paternal allergen exposure, offspring asthma, and pulmonary gamma/delta T cell function$238,500
R21 · FY2021 · AI
Dynamic regulatory network models of human response to influenza virus$1,202,266
U01 · FY2020 · AI
An experimentally-refined, dynamic gene regulatory network model of T-cell memory$445,620
R56 · FY2020 · AI