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Christopher Re
Stanford University
$1,860,019
Attributed
$1,860,019
Total exposure
2
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. They are the sole PI on all grants (the two match).
Funding over time
peak $389.8K · FY2020–25$500K$375K$250K$125K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,860,019 · 2
By mechanism
P41$1,860,019 · 2
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- Scott L Delp$38,724,527
- Joy P Ku$2,114,101
- Stephen A Baccus$14,663,528
- Alison L Marsden$14,840,284
- Stephen G Monismith$6,458,003
Others in their field
Other Emerging Leaders on “Deep Learning”
- Alan D. Palkowitz · Indiana University Indianapolis$17,630,798
- John E West · University Of Texas At Austin$15,799,827
- Leonard Freedman · Leidos Biomedical Research, Inc.$15,756,756
- Rene S. Kahn · Icahn School Of Medicine At Mount Sinai$13,240,338
- Neil King · University Of Washington$12,677,393
- Conor O'Neill · University Of California, San Francisco$10,429,562
Research focus
Deep LearningDegenerative PolyarthritisAcademiaAccelerometerAffectData SetBehavioral ModelAlgorithmsBiomechanicsBiomedical ResearchBiomedical ScientistBiomedical TechnologyCartilageCellular PhoneCerebral PalsyCharacteristicsClassificationClinicClinical PracticeComplexComputer SoftwareCoralCostDesign
Grant awards (5)
Analyze: Machine Learning for Mobility Data$365,927
P41 · FY2025 · EB · contact PI
Analyze: Machine Learning for Mobility Data$359,774
P41 · FY2024 · EB · contact PI
Analyze: Machine Learning for Mobility Data$372,274
P41 · FY2023 · EB · contact PI
Analyze: Machine Learning for Mobility Data$372,270
P41 · FY2022 · EB · contact PI
Analyze: Machine Learning for Mobility Data$389,774
P41 · FY2020 · EB · contact PI