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Rajet Vatsa
Harvard Medical School
$135,572
Attributed
$135,572
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 $54.5K · FY2023–25$100K$75K$50K$25K$0
'23
'24
'25
Funding mix
By agency
NIH$135,572 · 1
By mechanism
F30$135,572 · 1
Top collaborators
No co-investigators on record.
Most similar at Harvard Medical School
Same institution · by research overlap
- Nancy L Keating$12,275,722
- Haiden A. Huskamp$16,539,345
- John Michael McWilliams$6,971,007
- Lily Wang$120,574
- Hawazin W Elani$3,000,294
Others in their field
Other Rising Stars on “Environment”
- Katherine M Thibault · Battelle Memorial Institute$134,148,552
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- Mari Ostendorf · University Of Washington$51,931,230
- Brian Zavertnik · Palantir Technologies, Inc.$33,059,912
- Eric M Benway · Woods Hole Oceanographic Institution$32,293,242
- Tim A Bertram · Wake Forest University School Of Medicine$30,163,580
Research focus
EnvironmentAffectAdoptionAreaBirthBirth IntervalsAdverse OutcomeAntenatalCaringCesarean SectionCharacteristicsClinically RelevantClinical PracticeClinical SkillsContraceptive MethodsBirth RateDedicationsDesignDiscipline Of ObstetricsDisparityEarly DiagnosisElectronic Health RecordEmpowermentEquity
Grant awards (3)
Leveraging Causal Inference and Machine Learning Methods to Advance Evidence-Based Maternal Care and Improve Newborn Health Outcomes$54,538
F30 · FY2025 · HD · contact PI
Leveraging Causal Inference and Machine Learning Methods to Advance Evidence-Based Maternal Care and Improve Newborn Health Outcomes$41,157
F30 · FY2024 · HD · contact PI
Leveraging Causal Inference and Machine Learning Methods to Advance Evidence-Based Maternal Care and Improve Newborn Health Outcomes$39,877
F30 · FY2023 · HD · contact PI