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Joo Heung Yoon
University Of Pittsburgh At Pittsburgh
$1,373,545
Attributed
$1,373,545
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. They are the sole PI on all grants (the two match).
Funding over time
peak $433.7K · FY2020–25$500K$375K$250K$125K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,373,545 · 2
By mechanism
K23$939,835 · 1
R35$433,710 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Pittsburgh At Pittsburgh
Same institution · by research overlap
- Michael R Pinsky$13,601,966
- Edward M Stricker$1,750,986
- Marilyn Hravnak$2,996,338
- Joseph M Furman$3,184,609
- Leo E Otterbein$8,123,287
Others in their field
Other Emerging Leaders on “Psychological Reinforcement”
- Prasant Mohapatra · University Of California At Davis$42,617,389
- Nuno Macarico Da Costa · Allen Institute$9,201,052
- Forrest Christie Collman · Allen Institute$9,201,052
- Robb Brooks Rutledge · Yale University$3,987,255
- Jeffrey Reich · Sparian Biosciences, Inc.$3,984,629
- Ana-Maria Vranceanu · Massachusetts General Hospital$3,320,879
Research focus
Psychological ReinforcementEnvironmentDetectionMedicineSeriesIntensive Care UnitsComplexCritical IllnessLearningMachine LearningShockUniversitiesClinical DataLifeAcuteClinical TrialsAwardCritical CareBlood DonorBlood DonationsAnalogBiomedical InformaticsBioinformaticsAlternative Treatment
Grant awards (6)
Designing a Comprehensive Machine Learning-driven Prescriptive Clinical Decision Support System for Shock and Associated Critical Care Conditions$433,710
R35 · FY2025 · GM · contact PI
Developing Machine Learning-Driven Prediction Models and Therapeutic Strategies for Circulatory Shock in Critically-ill Patients$186,067
K23 · FY2024 · GM · contact PI
Developing Machine Learning-Driven Prediction Models and Therapeutic Strategies for Circulatory Shock in Critically-ill Patients$186,067
K23 · FY2023 · GM · contact PI
Developing Machine Learning-Driven Prediction Models and Therapeutic Strategies for Circulatory Shock in Critically-ill Patients$188,227
K23 · FY2022 · GM · contact PI
Developing Machine Learning-Driven Prediction Models and Therapeutic Strategies for Circulatory Shock in Critically-ill Patients$189,613
K23 · FY2021 · GM · contact PI
Developing Machine Learning-Driven Prediction Models and Therapeutic Strategies for Circulatory Shock in Critically-ill Patients$189,861
K23 · FY2020 · GM · contact PI