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Sangmi Kim
Emory University
$657,724
Attributed
$874,585
Total exposure
2
Grants
2
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 $580.3K · FY2022–24$1M$750K$500K$250K$0
'22
'23
'24
Funding mix
By agency
NIH$874,585 · 2
By mechanism
K01$440,863 · 1
R25$433,722 · 1
Top collaborators
- Ran Xiao1 shared
Most similar at Emory University
Same institution · by research overlap
- Carlos C Goller$1,126,000
- Kathryn Renae Moss$1,045,032
- Samuel Jenness$5,911,857
- Liang Zhao$1,048,360
- Raymond F. Schinazi$18,319,973
Others in their field
Other Rising Stars on “Violence”
- Sunni L. Mumford · University Of Pennsylvania$6,439,627
- Michael J Howell · University Of Minnesota$3,826,379
- Katherine Hoops · Johns Hopkins University$3,698,789
- Tanya L Zakrison · University Of Chicago$3,469,312
- Felice Le-Scherban · Drexel University$2,651,881
- Bharti Khurana · Brigham And Women'S Hospital$2,608,420
Research focus
ViolenceGrantManuscriptsTrainingPreventHybridsFamilyLearningPregnant WomenSkillsWomanSamplingPregnancyMeasurementExposure ToBlack RaceBirth RateBirthAreaAdoptedChronicAlgorithmsDatabasesDeep Neural Network
Grant awards (4)
Trauma-informed data science to prevent intimate partner violence among pregnant and postpartum women$433,722
R25 · FY2024 · NR · contact PI
Race/Ethnicity-Specific Algorithms of Chronic Stress Exposures for Preterm Birth Risk: Machine Learning Approach$146,560
K01 · FY2024 · NR · contact PI
Race/Ethnicity-Specific Algorithms of Chronic Stress Exposures for Preterm Birth Risk: Machine Learning Approach$149,800
K01 · FY2023 · NR · contact PI
Race/Ethnicity-Specific Algorithms of Chronic Stress Exposures for Preterm Birth Risk: Machine Learning Approach$144,503
K01 · FY2022 · NR · contact PI