← Leaderboards
Daniela Witten
University Of Washington
$4,119,680
Attributed
$7,080,274
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 $1.2M · FY2011–21$2M$1.5M$1M$500K$0
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
Funding mix
By agency
NIH$7,080,274 · 7
By mechanism
R01$3,410,298 · 3
DP5$1,836,138 · 1
T32$1,354,105 · 2
R25$479,733 · 1
Top collaborators
- Thomas L. Daniel5 shared
- Adrienne L Fairhall5 shared
- William Stafford Noble5 shared
- Jacob Bien4 shared
- Ilana Witten4 shared
- Michael Buice3 shared
- Ali Shojaie3 shared
Most similar at University Of Washington
Same institution · by research overlap
- Tania P Bardyn$8,604,720
- Ali Shojaie$14,565,564
- M Lee Van Horn$3,429,363
- C Richard Chapman$5,336,098
- Jeffrey A Riffell$4,199,052
Others in their field
Top investigators on “Statistical Methods”
- Mitchell J Malone · Texas A&M Research Foundation$320,373,312
- Gary D Acton · University Of California-Davis$320,373,312
- Lawrence Corey · Fred Hutchinson Cancer Center$298,997,339
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$257,558,200
- Peter B. Gilbert · Fred Hutchinson Cancer Center$170,328,555
- Michael David Hughes · Harvard University D/B/A Harvard School Of Public Health$162,415,285
Research focus
Statistical MethodsData SetComputer SoftwareTrainingOpen SourceLearningResponseBaseInsightFutureTechnologyComplexGenomicsResearch PersonnelBig DataWashingtonUniversitiesJointsPerformanceNeurosciencesBiologicalImageMeasurementMethodology
Grant awards (24)
CRCNS: Theory and Experiments to Elucidate Neural Coding in the Reward Circuit$235,907
R01 · FY2021 · DA · contact PI
Models and Methods for Calcium Imaging Data with Application to the Allen Brain Observatory$356,806
R01 · FY2020 · EB · contact PI
A Modeling Framework for Multi-View Data, with Applications to the Pioneer 100 Study and Protein Interaction Networks$323,659
R01 · FY2020 · GM · contact PI
CRCNS: Theory and Experiments to Elucidate Neural Coding in the Reward Circuit$279,706
R01 · FY2020 · DA · contact PI
Models and Methods for Calcium Imaging Data with Application to the Allen Brain Observatory$344,366
R01 · FY2019 · EB · contact PI
A Modeling Framework for Multi-View Data, with Applications to the Pioneer 100 Study and Protein Interaction Networks$323,659
R01 · FY2019 · GM · contact PI
CRCNS: Theory and Experiments to Elucidate Neural Coding in the Reward Circuit$279,706
R01 · FY2019 · DA · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$224,178
T32 · FY2019 · LM
Models and Methods for Calcium Imaging Data with Application to the Allen Brain Observatory$356,614
R01 · FY2018 · EB · contact PI
A Modeling Framework for Multi-View Data, with Applications to the Pioneer 100 Study and Protein Interaction Networks$315,184
R01 · FY2018 · GM · contact PI
CRCNS: Theory and Experiments to Elucidate Neural Coding in the Reward Circuit$254,642
R01 · FY2018 · DA · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$239,918
T32 · FY2018 · LM
A Modeling Framework for Multi-View Data, with Applications to the Pioneer 100 Study and Protein Interaction Networks$340,049
R01 · FY2017 · GM · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$303,645
T32 · FY2017 · LM
University of Washington PhD Training in Big Data for Genomics and Neuroscience$300,394
T32 · FY2016 · LM
Summer Institute for Statistics of Big Data$159,605
R25 · FY2016 · EB
High-dimensional unsupervised learning, with applications to genomics$364,050
DP5 · FY2015 · OD · contact PI
University of Washington PhD Training in Big Data for Genomics and Neuroscience$285,970
T32 · FY2015 · CA
Summer Institute for Statistics of Big Data$159,605
R25 · FY2015 · EB
High-dimensional unsupervised learning, with applications to genomics$363,800
DP5 · FY2014 · OD · contact PI
Summer Institute for Statistics of Big Data$160,523
R25 · FY2014 · EB
High-dimensional unsupervised learning, with applications to genomics$353,914
DP5 · FY2013 · OD · contact PI
High-dimensional unsupervised learning, with applications to genomics$377,315
DP5 · FY2012 · OD · contact PI
High-dimensional unsupervised learning, with applications to genomics$377,059
DP5 · FY2011 · OD · contact PI