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Aaron Edward Kornblith
University Of California, San Francisco
$487,296
Attributed
$487,296
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 $162.4K · FY2023–25$200K$150K$100K$50K$0
'23
'24
'25
Funding mix
By agency
NIH$487,296 · 1
By mechanism
K23$487,296 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Philip Rosenthal$4,268,588
- Carolyn Calfee$18,194,415
- Hanmin Lee$4,873,753
- Mary Helen Barcellos-Hoff$12,888,180
- Mitchell Cohen$5,892,451
Others in their field
Other Rising Stars on “Abdominal Ct”
- Alice Chia- Chi Wei · Sloan-Kettering Inst Can Research$2,617,533
- Shadi Abdar Esfahani · Massachusetts General Hospital$1,070,516
- Spencer Reid Marsh · Tiny Cargo Company, The$1,022,907
- Zhihua Qi · University Of Wisconsin-Madison$783,478
- Meghan Galvin Lubner · University Of Wisconsin-Madison$783,478
- Jessie Torgersen · University Of Pennsylvania$671,760
Research focus
Abdominal CtAbdominal InjuriesAdolescent And Young AdultAdultApplied ResearchAwardBlunt TraumaCaliforniaCareerCareer DevelopmentCause Of DeathChildChild CareChildhoodChildhood InjuryClinical InvestigationClinical ResearchComputing MethodologiesCritical CareCritical IllnessData ScienceData SetDecision ModelingAbdomen
Grant awards (3)
Accurate and Reliable Diagnostics for Injured Children: Machine Learning for Ultrasound$162,432
K23 · FY2025 · HD · contact PI
Accurate and Reliable Diagnostics for Injured Children: Machine Learning for Ultrasound$162,432
K23 · FY2024 · HD · contact PI
Accurate and Reliable Diagnostics for Injured Children: Machine Learning for Ultrasound$162,432
K23 · FY2023 · HD · contact PI