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Rachel C Nethery
Harvard University D/B/A Harvard School Of Public Health
$416,694
Attributed
$416,694
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 $139.1K · FY2021–23$200K$150K$100K$50K$0
'21
'22
'23
Funding mix
By agency
NIH$416,694 · 1
By mechanism
K01$416,694 · 1
Top collaborators
No co-investigators on record.
Most similar at Harvard University D/B/A Harvard School Of Public Health
Same institution · by research overlap
- Nancy Krieger$11,854,624
- Joel D Schwartz$16,992,158
- Francine Laden$20,548,159
- Elsie Mareca Sunderland$3,199,224
- Antonella Zanobetti$9,786,860
Others in their field
Other Emerging Leaders on “Data Science”
- Leonard Freedman · Leidos Biomedical Research, Inc.$821,386,641
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$266,822,647
- Valerie Koch · University Corporation For Atmospheric Res$247,762,266
- Lynn Briscoe · Leidos Biomedical Research, Inc.$238,999,069
- Joel A Lipkin · Four Points Technology, Llc$181,896,915
- Leonard Freedmand · Leidos Biomedical Research, Inc.$153,205,657
Research focus
Data ScienceDisciplineAccountingComputer SoftwareAward1,3-ButadieneAffectBiologicalBiologyAreaCancer EpidemiologyCareer DevelopmentBayesian LearningAdultBenzeneCellular BiologyChildChild HealthChildhood LeukemiaCodeCancer BiologyCohort StudiesCommunitiesEducational Atmosphere
Grant awards (3)
Causal machine learning methods for studying the effects of environmental exposures on childhood cancer using natural experiments$139,078
K01 · FY2023 · ES · contact PI
Causal machine learning methods for studying the effects of environmental exposures on childhood cancer using natural experiments$139,078
K01 · FY2022 · ES · contact PI
Causal machine learning methods for studying the effects of environmental exposures on childhood cancer using natural experiments$138,538
K01 · FY2021 · ES · contact PI