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Thierry Chekouo Tekougang
University Of Minnesota
$1,124,016
Attributed
$1,124,016
Total exposure
1
Grants
1
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 $374.7K · FY2023–25$500K$375K$250K$125K$0
'23
'24
'25
Funding mix
By agency
NIH$1,124,016 · 1
By mechanism
R35$1,124,016 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Minnesota
Same institution · by research overlap
- Haitao Chu$2,153,934
- Rendong Yang$3,719,045
- Alvaro Alonso$12,399,860
- Xiaotong Shen$6,729,144
- Sandra E Safo$2,561,658
Others in their field
Other Rising Stars on “Bayesian Method”
- Richard Austin Moffitt · University Of Colorado Denver$4,409,463
- Emily Rose Pfaff · University Of Colorado Denver$4,409,463
- Ruben Dries · Boston Medical Center$3,371,645
- Nicholas Schafer · Constantiam Biosciences Inc.$2,986,115
- Andras A. Heczey · Baylor College Of Medicine$2,490,304
- Claribel Acevedo-Velez · University Of Puerto Rico Mayaguez$2,374,685
Research focus
Bayesian MethodBiologicalBiological MarkersCardiovascular DiseasesChargeComplexDatabase Of Genotypes And PhenotypesData IntegrationData SetDiagnosisDisorder SubtypeEpigenomicsGenomicsGenotypeHeterogeneityJointsLearning StrategyMalignant NeoplasmsMedicineMolecularMolecular DiseaseMultiomic DataMultiple OmicsNeurodegenerative Disorders
Grant awards (3)
Interpretable Bayesian Non-linear statistical learning models for multi-omics data integration$374,672
R35 · FY2025 · GM · contact PI
Interpretable Bayesian Non-linear statistical learning models for multi-omics data integration$374,672
R35 · FY2024 · GM · contact PI
Interpretable Bayesian Non-linear statistical learning models for multi-omics data integration$374,672
R35 · FY2023 · GM · contact PI