← Leaderboards
Sushmita Roy
University Of Wisconsin-Madison
$6,777,815
Attributed
$9,069,153
Total exposure
7
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 $1.4M · FY2016–25$2M$1.5M$1M$500K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$9,069,153 · 7
By mechanism
R01$6,014,036 · 4
U01$3,055,117 · 3
Top collaborators
- David M Gamm5 shared
- Krishanu Saha5 shared
- Melissa Caroline Skala5 shared
Most similar at University Of Wisconsin-Madison
Same institution · by research overlap
- Maiken Nedergaard$36,611,904
- James E. Gern$167,391,145
- Bruce Steven Klein$36,349,356
- Emery H. Bresnick$23,812,634
- Richard A. Anderson$21,604,964
Others in their field
Top investigators on “Computing Methodologies”
- Peter B. Gilbert · Fred Hutchinson Cancer Center$167,167,617
- Jay Arnold Tischfield · Rutgers, The State Univ Of N.J.$90,137,826
- David Roney · Information Management Services, Inc.$84,694,401
- Hongkui Zeng · Allen Institute$61,398,983
- Sumithra Jay Mandrekar · Mayo Clinic Rochester$58,521,207
- Angela M. Gronenborn · Diabetes, Digestive, Kidney Diseases$56,736,947
Research focus
Computing MethodologiesGenesCellsData SetStructureTechnologyRegulator GenesGene ExpressionPlayCell TypeMultitaskSingle-Cell Rna SequencingTranslational ResearchSpecific Qualifier ValueCell LineageGenomeSamplingCell Fate SpecificationComputerized ToolsGenetic Regulatory ProteinBasic ScienceComplexPublishingMeasurement
Grant awards (22)
Leveraging multi-species single cell omic datasets to study the evolution of cell type-specific gene regulatory networks$392,953
R01 · FY2025 · HG · contact PI
Defining gene regulatory networks controlling cell fate$307,921
R01 · FY2025 · GM · contact PI
Leveraging multi-species single cell omic datasets to study the evolution of cell type-specific gene regulatory networks$444,034
R01 · FY2024 · HG · contact PI
Defining gene regulatory networks controlling cell fate$307,579
R01 · FY2024 · GM · contact PI
Leveraging multi-species single cell omic datasets to study the evolution of cell type-specific gene regulatory networks$464,755
R01 · FY2023 · HG · contact PI
Defining gene regulatory networks controlling cell fate$328,570
R01 · FY2023 · GM · contact PI
Single Cell Profiling To Define Biomarkers Of Photoreceptor Dysfunction After Gene Editing Within PSC-Derived Organoids$611,987
U01 · FY2022 · EY
Leveraging multi-species single cell omic datasets to study the evolution of cell type-specific gene regulatory networks$498,204
R01 · FY2022 · HG · contact PI
Defining gene regulatory networks controlling cell fate$329,063
R01 · FY2022 · GM · contact PI
Single Cell Profiling To Define Biomarkers Of Photoreceptor Dysfunction After Gene Editing Within PSC-Derived Organoids$611,987
U01 · FY2021 · EY
Computational approaches for comparative regulatory genomics to decipher long-range gene regulation$332,892
R01 · FY2021 · HG · contact PI
Single Cell Profiling To Define Biomarkers Of Photoreceptor Dysfunction After Gene Editing Within PSC-Derived Organoids$611,987
U01 · FY2020 · EY
Computational approaches for comparative regulatory genomics to decipher long-range gene regulation$352,626
R01 · FY2020 · HG · contact PI
Computational Inference of Regulatory Network Dynamics on Cell Lineages$303,220
R01 · FY2020 · GM · contact PI
Single Cell Profiling To Define Biomarkers Of Photoreceptor Dysfunction After Gene Editing Within PSC-Derived Organoids$602,712
U01 · FY2019 · EB
Computational approaches for comparative regulatory genomics to decipher long-range gene regulation$352,626
R01 · FY2019 · HG · contact PI
Computational Inference of Regulatory Network Dynamics on Cell Lineages$303,220
R01 · FY2019 · GM · contact PI
Single Cell Profiling To Define Biomarkers Of Photoreceptor Dysfunction After Gene Editing Within PSC-Derived Organoids$616,444
U01 · FY2018 · HL
Computational approaches for comparative regulatory genomics to decipher long-range gene regulation$411,292
R01 · FY2018 · HG · contact PI
Computational Inference of Regulatory Network Dynamics on Cell Lineages$293,249
R01 · FY2018 · GM · contact PI
Computational Inference of Regulatory Network Dynamics on Cell Lineages$303,220
R01 · FY2017 · GM · contact PI
Computational Inference of Regulatory Network Dynamics on Cell Lineages$288,612
R01 · FY2016 · GM · contact PI