← Leaderboards
Padhraic Smyth
New York University School Of Medicine
$824,203
Attributed
$1,948,399
Total exposure
2
Grants
0
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 $637.4K · FY2021–25$1M$750K$500K$250K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,948,399 · 2
By mechanism
R01$1,948,399 · 2
Top collaborators
- Hua Judy Zhong5 shared
- Yuqing Guo2 shared
- Annie Qu2 shared
- Babak Shahbaba2 shared
Most similar at New York University School Of Medicine
Same institution · by research overlap
- Francesca M Gany$19,018,531
- Hua Judy Zhong$7,285,128
- Vivek Jay Srinivasan$12,444,709
- Robert Crooks Froemke$16,720,685
- Daniel Friedman$2,741,721
Others in their field
Other Emerging Leaders on “Methodology”
- Yunda Huang · Fred Hutchinson Cancer Center$71,037,589
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$65,825,458
- April Brinkoetter · Hungry Heart Media, Inc.$57,302,265
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$42,295,422
- Stuart Hellyar Hellyar$34,175,230
- Thomas Denny · Duke University$32,183,891
Research focus
MethodologyVariantDeep LearningSamplingInnovationFrequenciesRisk FactorsFlexibilityData SetElectronic Health RecordCardiovascular DiseasesCalibrationCharacteristicsBenchmarkingAlgorithmsDiagnosisCohortData StandardsDisease OutcomeClinical ResearchClinical MedicineDemographicsComputing MethodologiesClinical Data
Grant awards (7)
SCH: Individualized learning and prediction for heterogeneous multimodal data from wearable devices$300,000
R01 · FY2025 · CA
SCH: Individualized learning and prediction for heterogeneous multimodal data from wearable devices$299,988
R01 · FY2024 · CA
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$232,089
R01 · FY2024 · LM
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$105,316
R01 · FY2024 · LM
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$330,666
R01 · FY2023 · LM
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$332,106
R01 · FY2022 · LM
Personalized Risk Predictions with Deep Learning Methods in the Presence of Missing and Biased Electronic Health Record Data$348,234
R01 · FY2021 · LM