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Kushal Kumar Dey
Harvard School Of Public Health
$1,378,644
Attributed
$1,378,644
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 $771.9K · FY2022–25$1M$750K$500K$250K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$1,378,644 · 3
By mechanism
R00$747,000 · 1
R01$522,866 · 1
K99$108,778 · 1
Top collaborators
No co-investigators on record.
Most similar at Harvard School Of Public Health
Same institution · by research overlap
- Alexander Gusev$6,174,220
- Winston Alexander Hide$3,832,830
- Andrew L. Beam$831,600
- Harrison Reeder$74,006
- Hannah J Smith$100,005
Others in their field
Other Rising Stars on “Experimental Study”
- Mari Ostendorf · University Of Washington$51,931,230
- Julia Louise Moore Vogel · Scripps Research Institute, The$32,252,685
- Samuel W Teitelbaum · Arizona State University$13,377,213
- Jason Dickens · Duke University$12,259,409
- Suma Babu · Massachusetts General Hospital$11,004,714
- Sabrina Paganoni · Massachusetts General Hospital$11,004,714
Research focus
Experimental StudyGenetic VariantCrispr ScreenEpigenomicsGenetic ArchitectureGenetic DiseasesCommunitiesBenchmarkingDrug DesignEnhancersGenesArchitectureBase PairingDeep Learning ModelBase SequenceCell PhysiologyCellsCell TypeAtac-SeqComplexComputerized ToolsDrug TargetingBiological ProcessGenome
Grant awards (5)
Decoding disease-critical genomic architecture using multimodal single-cell omics data$522,866
R01 · FY2025 · HG · contact PI
New approaches for leveraging single-cell data to identify disease-critical genes and gene sets$249,000
R00 · FY2025 · HG · contact PI
New approaches for leveraging single-cell data to identify disease-critical genes and gene sets$249,000
R00 · FY2024 · HG · contact PI
New approaches for leveraging single-cell data to identify disease-critical genes and gene sets$249,000
R00 · FY2023 · HG · contact PI
New approaches for leveraging single-cell data to identify disease-critical genes and gene sets$108,778
K99 · FY2022 · HG · contact PI