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C. David Page

University Of Wisconsin-Madison

$9,399,195
Attributed
$16,540,166
Total exposure
7
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 $2.9M · FY200725
$5M$3.8M$2.5M$1.3M$0
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$16,540,166 · 7

By mechanism

R01$7,078,046 · 3
U01$6,696,489 · 2
P30$2,765,631 · 2

Most similar at University Of Wisconsin-Madison

Same institution · by research overlap

Others in their field

Top investigators on “Machine Learning

Research focus

Machine LearningDesignResearch PersonnelTechnologyAlgorithmsMemberInnovationStructureGeneticData SetResourcesMissionProgramsData AnalysesLeadershipBiometryInformaticsWisconsinGenomicsPredictive ModelingCommunitiesComplexCostGrant

Grant awards (31)

Analytics & Machine-learning for Maternal-health Interventions (AMMI): A Cross-CTSA Collaboration$1,148,720
U01 · FY2025 · TR
Advancing a Holistic Understanding of Variability in Lived Experience with Sickle Cell Pain$1,049,682
R01 · FY2025 · HL
Design, prediction, and prioritization of systematic perturbations of the human genome$715,213
U01 · FY2025 · HG
Analytics & Machine-learning for Maternal-health Interventions (AMMI): A Cross-CTSA Collaboration$1,146,879
U01 · FY2024 · TR
Design, prediction, and prioritization of systematic perturbations of the human genome$715,211
U01 · FY2024 · HG
Analytics & Machine-learning for Maternal-health Interventions (AMMI): A Cross-CTSA Collaboration$1,157,183
U01 · FY2023 · TR
Design, prediction, and prioritization of systematic perturbations of the human genome$729,808
U01 · FY2023 · HG
Design, prediction, and prioritization of systematic perturbations of the human genome$729,808
U01 · FY2022 · HG
Design, prediction, and prioritization of systematic perturbations of the human genome$353,667
U01 · FY2021 · HG
Cancer Informatics Shared Resource$466,935
P30 · FY2019 · CA · contact PI
Machine Learning for Identifying Adverse Drug Events$536,041
R01 · FY2018 · GM · contact PI
Cancer Informatics Shared Resource$481,064
P30 · FY2018 · CA · contact PI
Cancer Informatics Shared Resource$10,871
P30 · FY2018 · CA · contact PI
Cancer Informatics Shared Resource$5,924
P30 · FY2018 · CA · contact PI
Cancer Informatics Shared Resource$3,331
P30 · FY2018 · CA · contact PI
Cancer Informatics Shared Resource$3,293
P30 · FY2018 · CA · contact PI
Machine Learning for Identifying Adverse Drug Events$536,041
R01 · FY2017 · GM · contact PI
Machine Learning for Identifying Adverse Drug Events$539,889
R01 · FY2016 · GM · contact PI
Machine Learning for Identifying Adverse Drug Events$608,132
R01 · FY2015 · GM · contact PI
Secure Sharing of Clinical History & Genetic Data: Empowering Predictive Pers. Me$554,661
R01 · FY2014 · LM · contact PI
Machine Learning for Identifying Adverse Drug Events$520,751
R01 · FY2013 · GM · contact PI
Secure Sharing of Clinical History & Genetic Data: Empowering Predictive Pers. Me$512,888
R01 · FY2013 · LM · contact PI
Secure Sharing of Clinical History & Genetic Data: Empowering Predictive Pers. Me$545,129
R01 · FY2012 · LM · contact PI
Machine Learning for Identifying Adverse Drug Events$537,272
R01 · FY2012 · GM · contact PI
Secure Sharing of Clinical History & Genetic Data: Empowering Predictive Pers. Me$588,817
R01 · FY2011 · LM · contact PI
Machine Learning for Identifying Adverse Drug Events$548,743
R01 · FY2011 · GM · contact PI
Cancer Informatics$337,123
P30 · FY2011 · CA · contact PI
Cancer Informatics$375,143
P30 · FY2010 · CA · contact PI
Cancer Informatics$356,130
P30 · FY2009 · CA · contact PI
Cancer Informatics$352,078
P30 · FY2008 · CA · contact PI
Cancer Informatics$373,739
P30 · FY2007 · CA · contact PI