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Andrew L. Beam
Harvard School Of Public Health
$831,600
Attributed
$831,600
Total exposure
1
Grants
1
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 $166.3K · FY2019–23$200K$150K$100K$50K$0
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$831,600 · 1
By mechanism
K01$831,600 · 1
Top collaborators
No co-investigators on record.
Most similar at Harvard School Of Public Health
Same institution · by research overlap
- Seunggeun Shawn Lee$2,141,943
- Han Chen$3,598,112
- Lauren Tanz$82,977
- Turner John Pecen$65,774
Others in their field
Other Emerging Leaders on “Data Analyses”
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$65,595,760
- Leonard Freedman · Leidos Biomedical Research, Inc.$64,643,117
- Dale Sandler · Social And Scientific Systems, Inc.$59,740,435
- Yunda Huang · Fred Hutchinson Cancer Center$53,064,276
- Susan Abushakra · Alzheon, Inc.$47,265,244
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$39,613,389
Research focus
Data Analyses37 Weeks GestationConceptionsComputational TechniqueAffectAreaAccountingBig DataBioinformaticsAdverse EventBirthBirth WeightBostonBronchopulmonary DysplasiaCardiacAwardChronicClinical DataClinical MedicineClinical PracticeClinical PredictorsBiometryCollaborationsDatabases
Grant awards (5)
Predicting Pulmonary and Cardiac Morbidity in Preterm Infants with Deep Learning$166,320
K01 · FY2023 · HL · contact PI
Predicting Pulmonary and Cardiac Morbidity in Preterm Infants with Deep Learning$166,320
K01 · FY2022 · HL · contact PI
Predicting Pulmonary and Cardiac Morbidity in Preterm Infants with Deep Learning$166,320
K01 · FY2021 · HL · contact PI
Predicting Pulmonary and Cardiac Morbidity in Preterm Infants with Deep Learning$166,320
K01 · FY2020 · HL · contact PI
Predicting Pulmonary and Cardiac Morbidity in Preterm Infants with Deep Learning$166,320
K01 · FY2019 · HL · contact PI