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Jiyeong Kim
Stanford University
$270,536
Attributed
$270,536
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 $135.3K · FY2024–25$200K$150K$100K$50K$0
'24
'25
Funding mix
By agency
NIH$270,536 · 1
By mechanism
K01$270,536 · 1
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- Joseph C Wu$80,370,369
- Alison L Marsden$14,840,284
- Gregory George Zaharchuk$14,220,326
- Jennifer L Raymond$18,880,693
- William Hiesinger$2,534,991
Others in their field
Other Rising Stars on “Comorbidity”
- Mohamad Habes · University Of Texas Hlth Science Center$4,771,010
- Valentina Stosor · Northwestern University At Chicago$3,948,555
- Dhiraj Kumar Singh · Texas Biomedical Research Institute$3,900,756
- Trevor Adam Crowell · Henry M. Jackson Fdn For The Adv Mil/Med$3,822,251
- Martin Pule · University College London$3,627,871
- Ganesh Chand · Washington University$3,188,901
Research focus
ComorbidityAlgorithmsAnxietyArea Under CurveAnxiety DisordersArtificial Intelligence AlgorithmAnxiety SymptomsAwarenessBehavioralBioethicsBiometryBrainBurden Of IllnessCardiologyCardiovascular DiseasesCardiovascular Disorder RiskCardiovascular ModelsCareerCareer DevelopmentCaringChronicChronic DiseaseComorbid DepressionConfidence Intervals
Grant awards (2)
Leveraging Large Language Models and Machine Learning Algorithms to Assess Depression and Anxiety Symptoms and Risks for Patients with Cardiovascular Disease or Diabetes Mellitus$135,268
K01 · FY2025 · MH · contact PI
Leveraging Large Language Models and Machine Learning Algorithms to Assess Depression and Anxiety Symptoms and Risks for Patients with Cardiovascular Disease or Diabetes Mellitus$135,268
K01 · FY2024 · MH · contact PI