← Leaderboards
John D Lafferty
Carnegie Mellon University
$4,570,675
Attributed
$16,932,221
Total exposure
13
Grants
6
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 $600K · FY2006–20$1M$750K$500K$250K$0
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
Funding mix
By agency
NSF$16,932,221 · 13
By mechanism
—$16,932,221 · 13
Top collaborators
- Avrim Blum2 shared
- Daniel D Sleator2 shared
- Guy E Blelloch2 shared
- Larry A Wasserman2 shared
- Alexander Waibel1 shared
- Alon Lavie1 shared
- Ann Lee1 shared
- Aravind K Joshi1 shared
Grant awards (13)
Generative Models for Complex Data: Inference, Sensing, and Repair$250,000
· FY2020 · MPS · contact PI
TRIPODS+X:RES: Investigations at the Interface of Data Science and Neuroscience$599,992
· FY2018 · CSE
Constrained Statistical Estimation and Inference: Theory, Algorithms and Applications$144,973
· FY2017 · MPS · contact PI
Constrained Statistical Estimation and Inference: Theory, Algorithms and Applications$320,000
· FY2015 · MPS · contact PI
III: Small: Nonparametric Structure Learning for Complex Scientific Datasets$499,344
· FY2011 · CSE
Collaborative Research: Spectral Graph Theory and Its Applications$480,000
· FY2007 · CSE
MSPA-MCS: Nonparametric Learning in High Dimensions$500,000
· FY2006 · CSE · contact PI
ITR: Collaborative Research: (ACS+NHS)-(dmc+soc): Machine Learning for Sequences and Structured Data: Tools for Non-Experts$333,134
· FY2004 · CSE · contact PI
ITR: Machine Learning from Labeled and Unlabeled Data$395,000
· FY2003 · CSE · contact PI
ITR: Language, Learning, and Modeling Biological Sequences$3,625,503
· FY2002 · CSE
ITR/SY+IM+AP: Center for Applied Algorithms$6,684,274
· FY2001 · CSE
ITR/PE: AVENUE: Adaptable Voice Translation for Minority Languages$2,500,001
· FY2001 · CSE
ITR: Algorithms: From Theory to Application$600,000
· FY2000 · CSE