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Michael Filbin
Massachusetts General Hospital
$2,016,949
Attributed
$6,050,847
Total exposure
3
Grants
2
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 $1.6M · FY2021–25$2M$1.5M$1M$500K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,050,847 · 3
By mechanism
R01$4,956,855 · 1
R33$676,179 · 1
R21$417,813 · 1
Top collaborators
- Marcia B Goldberg5 shared
- Nir Hacohen5 shared
- Roby Paul Bhattacharyya3 shared
- Nathan I Shapiro3 shared
Most similar at Massachusetts General Hospital
Same institution · by research overlap
- Nir Hacohen$29,379,938
- Andrew D Luster$52,151,359
- Sarah P Thayer$4,572,313
- Deborah T Hung$41,850,756
- Simon N Powell$16,981,652
Others in their field
Other Emerging Leaders on “Site”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Bambra Strokes · Ppd Development Lp$526,656,217
- Tracy L Nolen · Research Triangle Institute$474,487,152
- Beth Baseler · Leidos Biomedical Research, Inc.$118,180,593
- Kimberly Smith · Ppd Development Lp$115,671,664
- Paul F Gallagher · Woods Hole Oceanographic Institution$92,619,872
Research focus
SiteSingle-Cell Rna SequencingMonocyteMapsResponseSeptic PatientsCellular Indexing Of Transcriptomes And Epitopes By SequencingHeterogeneityInfectionInsightPathway InteractionsPatient SubsetsSamplingSepsisBloodBlood CellsFunctional DisorderGenesImmuneImmune ResponseCellsCohortOrganStimulus
Grant awards (8)
Single-cell genomic profiling to identify immune signatures of bacterial sepsis in humans$970,158
R01 · FY2025 · AI
Optimizing methods of clinical sample processing for scRNA-seq and mechanistic studies in sepsis to enable reliable, reproducible, and high-yield multi-center collection efforts$676,179
R33 · FY2025 · GM · contact PI
Single-cell genomic profiling to identify immune signatures of bacterial sepsis in humans$1,012,832
R01 · FY2024 · AI
Optimizing methods of clinical sample processing for scRNA-seq and mechanistic studies in sepsis to enable reliable, reproducible, and high-yield multi-center collection efforts$199,629
R21 · FY2024 · GM · contact PI
Single-cell genomic profiling to identify immune signatures of bacterial sepsis in humans$939,914
R01 · FY2023 · AI
Optimizing methods of clinical sample processing for scRNA-seq and mechanistic studies in sepsis to enable reliable, reproducible, and high-yield multi-center collection efforts$218,184
R21 · FY2023 · GM · contact PI
Single-cell genomic profiling to identify immune signatures of bacterial sepsis in humans$1,019,588
R01 · FY2022 · AI
Single-cell genomic profiling to identify immune signatures of bacterial sepsis in humans$1,014,363
R01 · FY2021 · AI