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Kwonmoo Lee

Harvard Medical School

$5,152,436
Attributed
$6,312,829
Total exposure
4
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 $1.3M · FY201225
$2M$1.5M$1M$500K$0
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$6,312,829 · 4

By mechanism

R35$3,438,506 · 1
R01$2,320,786 · 1
R15$449,520 · 1
F32$104,017 · 1

Top collaborators

Most similar at Harvard Medical School

Same institution · by research overlap

Others in their field

Top investigators on “Cells

Research focus

CellsLive Cell ImagingHeterogeneityMachine LearningPhenotypeCellular BiologySeriesImageData SetMolecularDeep LearningResolutionTechnologyImage AnalysisData AnalysesSpatiotemporalComplexMicroscopeMovieMembraneAlgorithmsSingle Cell AnalysisMapsLearning

Grant awards (15)

High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning Microscopy$780,300
R01 · FY2025 · HL · contact PI
Unraveling heterogeneity of molecular mechanisms in cellular motility and morphodynamics by machine learning$489,500
R35 · FY2025 · GM · contact PI
High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning Microscopy$759,296
R01 · FY2024 · HL · contact PI
Unraveling heterogeneity of molecular mechanisms in cellular motility and morphodynamics by machine learning$452,217
R35 · FY2024 · GM · contact PI
High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning Microscopy$781,190
R01 · FY2023 · HL · contact PI
Unraveling subcellular heterogeneity of molecular coordination by machine learning$442,500
R35 · FY2023 · GM · contact PI
Unraveling subcellular heterogeneity of molecular coordination by machine learning$442,500
R35 · FY2022 · GM · contact PI
Purchase of a light microscopy system for high-throughput and high-resolution live cell imaging$175,501
R35 · FY2022 · GM · contact PI
Unraveling subcellular heterogeneity of molecular coordination by machine learning$442,500
R35 · FY2021 · GM · contact PI
Spatiotemporal forecasting of COVID-19 by integrating machine learning and epidemiological modeling$318,600
R35 · FY2021 · GM · contact PI
Unraveling subcellular heterogeneity of molecular coordination by machine learning$442,500
R35 · FY2020 · GM · contact PI
Unraveling subcellular heterogeneity of molecular coordination by machine learning$232,688
R35 · FY2019 · GM · contact PI
Spatiotemporal Coordination of Actin Regulators and Traction Forces in Heterogeneous Cell Protrusions$449,520
R15 · FY2017 · GM · contact PI
Spatiotemporal Coordination of Formin and Arp2/3 in Epithelial Cell Migration$52,190
F32 · FY2013 · GM · contact PI
Spatiotemporal Coordination of Formin and Arp2/3 in Epithelial Cell Migration$51,827
F32 · FY2012 · GM · contact PI