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Kathryn M Roeder
Carnegie-Mellon University
$5,330,076
Attributed
$5,330,076
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 $970.2K · FY2016–25$1M$750K$500K$250K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$5,330,076 · 3
By mechanism
R01$5,330,076 · 3
Top collaborators
No co-investigators on record.
Most similar at Carnegie-Mellon University
Same institution · by research overlap
- Min Xu$1,809,383
- Zhijun Duan$2,828,443
- Jian Ma$10,563,805
Others in their field
Top investigators on “Statistical Methods”
- Mitchell J Malone · Texas A&M Research Foundation$320,373,312
- Gary D Acton · University Of California-Davis$320,373,312
- Lawrence Corey · Fred Hutchinson Cancer Center$298,997,339
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$257,558,200
- Peter B. Gilbert · Fred Hutchinson Cancer Center$170,328,555
- Michael David Hughes · Harvard University D/B/A Harvard School Of Public Health$162,415,285
Research focus
Statistical MethodsGenesVariantCell TypeGeneticPublic HealthGene DiscoveryResourcesGenetic RiskMental DisordersInsightInnovationGenetic VariationSamplingFoundationsRisk VariantData SetCellsAffectEtiologyMolecularBrainLinkHeterogeneity
Grant awards (13)
Methods for single-cell CRISPR screens and multiomic data: constructing powerful well-calibrated tests, circumventing unmeasured confounding, and accounting for denoising and imputation$592,551
R01 · FY2025 · MH · contact PI
3/4 The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorder$377,691
R01 · FY2025 · MH · contact PI
Methods for single-cell CRISPR screens and multiomic data: constructing powerful well-calibrated tests, circumventing unmeasured confounding, and accounting for denoising and imputation$592,551
R01 · FY2024 · MH · contact PI
3/4 The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorder$377,691
R01 · FY2024 · MH · contact PI
Computational Methods to Integrate and Interpret the Transcriptome from Single Cell and Tissue Level Data$503,876
R01 · FY2023 · MH · contact PI
3/4 The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorder$377,691
R01 · FY2023 · MH · contact PI
Computational Methods to Integrate and Interpret the Transcriptome from Single Cell and Tissue Level Data$503,817
R01 · FY2022 · MH · contact PI
3/4 The Autism Sequencing Consortium: Discovering autism risk genes and how they impact core features of the disorder$404,766
R01 · FY2022 · MH · contact PI
Computational Methods to Integrate and Interpret the Transcriptome from Single Cell and Tissue Level Data$505,168
R01 · FY2021 · MH · contact PI
Computational Methods to Integrate and Interpret the Transcriptome from Single Cell and Tissue Level Data$516,076
R01 · FY2020 · MH · contact PI
2/3 Multidimensional investigation of the etiology of autism spectrum disorder$188,157
R01 · FY2018 · MH · contact PI
2/3 Multidimensional investigation of the etiology of autism spectrum disorder$192,779
R01 · FY2017 · MH · contact PI
2/3 Multidimensional investigation of the etiology of autism spectrum disorder$197,262
R01 · FY2016 · MH · contact PI