← Leaderboards
Jinbo Bi
University Of Connecticut Storrs
$3,011,014
Attributed
$4,673,011
Total exposure
4
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.
Funding over time
peak $897.1K · FY2015–23$1M$750K$500K$250K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$4,673,011 · 4
By mechanism
R01$3,864,291 · 3
K02$808,720 · 1
Top collaborators
- Jayesh Kamath4 shared
- Chiang-Shan Ray Li4 shared
- Alexander Russell4 shared
- Bing Wang4 shared
Most similar at University Of Connecticut Storrs
Same institution · by research overlap
- Jayesh Kamath$260,494
- Alexander Russell$260,494
- Bing Wang$260,494
- Clifford Yang$297,082
- Yasir Suhail$559,876
Others in their field
Top investigators on “Sampling”
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Jeffrey P Krischer · University Of South Florida$522,319,685
- David R. Weir · University Of Michigan At Ann Arbor$421,002,438
- David Heimbrook · Leidos Biomedical Research, Inc.$410,224,927
- Eric S Lander · Whitehead Institute For Biomedical Res$395,613,296
- Richard A Gibbs · Baylor College Of Medicine$356,778,395
Research focus
SamplingInnovationSymptomsTreatment ResponseMachine LearningStatistical ModelsGeneticStatistical MethodsEtiologyFoundationsDiagnostic And Statistical Manual Of Mental DisordersDiagnosisAlcohol DependenceDiagnosticPhenotypeCluster AnalysisGenetic StudyGenotypeGenesHeterogeneityAddictionInterdisciplinary StudyGenetic MarkersHeritability
Grant awards (17)
Multi-level statistical classification of substance use disorder$432,211
R01 · FY2023 · DA · contact PI
SCH: Personalized Depression Treatment Support by Mobile Sensor Analytics$233,742
R01 · FY2023 · MH
Multi-level statistical classification of substance use disorder$430,888
R01 · FY2022 · DA · contact PI
Multi-level statistical classification of substance use disorder$432,562
R01 · FY2021 · DA · contact PI
SCH: Personalized Depression Treatment Support by Mobile Sensor Analytics$245,551
R01 · FY2021 · MH
Classifying addictions using machine learning analysis of multidimensional data$158,923
K02 · FY2021 · DA · contact PI
Multi-level statistical classification of substance use disorder$465,370
R01 · FY2020 · DA · contact PI
SCH: Personalized Depression Treatment Support by Mobile Sensor Analytics$270,271
R01 · FY2020 · MH
Classifying addictions using machine learning analysis of multidimensional data$161,422
K02 · FY2020 · DA · contact PI
SCH: Personalized Depression Treatment Support by Mobile Sensor Analytics$292,411
R01 · FY2019 · MH
Classifying addictions using machine learning analysis of multidimensional data$162,123
K02 · FY2019 · DA · contact PI
Quantitative methods to subtype drug dependence and detect novel genetic variants$272,868
R01 · FY2018 · DA · contact PI
Classifying addictions using machine learning analysis of multidimensional data$162,800
K02 · FY2018 · DA · contact PI
Quantitative methods to subtype drug dependence and detect novel genetic variants$217,494
R01 · FY2017 · DA · contact PI
Classifying addictions using machine learning analysis of multidimensional data$163,452
K02 · FY2017 · DA · contact PI
Quantitative methods to subtype drug dependence and detect novel genetic variants$282,886
R01 · FY2016 · DA · contact PI
Quantitative methods to subtype drug dependence and detect novel genetic variants$288,037
R01 · FY2015 · DA · contact PI