← Leaderboards
William La Cava
University Of Pennsylvania
$2,253,863
Attributed
$2,253,863
Total exposure
3
Grants
3
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 $729.8K · FY2019–25$1M$750K$500K$250K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,253,863 · 3
By mechanism
R01$1,365,552 · 1
R00$709,650 · 1
K99$178,661 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Pennsylvania
Same institution · by research overlap
- Jason H Karlawish$15,923,629
- George Demiris$12,229,431
- Angela C. Brown$2,176,779
- Eri Kuno$2,057,340
- Aimee S Payne$10,136,122
Others in their field
Other Emerging Leaders on “Training”
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$73,910,854
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
- Bambra Strokes · Ppd Development Lp$65,000,267
- Martha Hering · Westat, Inc.$57,098,843
- Peter W Pisters · University Of Tx Md Anderson Can Ctr$56,084,949
- Susan M Landau · University Of California Berkeley$47,252,026
Research focus
TrainingHospitalsMachine LearningPerformanceDesignInpatientsPatient CareElectronic Health RecordRecommendationPatient-Focused OutcomesPredictive ModelingMachine Learning MethodOperationLearningArchivesEngineeringAffectDisease DiagnosisDisorder SubtypeHandDeep LearningData SetAutomobile DrivingData Reporting
Grant awards (7)
Real-time Monitoring and Correction of Clinical Decision Support Systems using Artificial Intelligence$635,731
R01 · FY2025 · LM · contact PI
Real-time Monitoring and Correction of Clinical Decision Support Systems to Reduce Health Disparities$729,821
R01 · FY2024 · LM · contact PI
Multi-objective representation learning methods for interpetable predictions of patient outcomesusing electronic health records$236,550
R00 · FY2023 · LM · contact PI
Multi-objective representation learning methods for interpetable predictions of patient outcomesusing electronic health records$236,550
R00 · FY2022 · LM · contact PI
Multi-objective representation learning methods for interpetable predictions of patient outcomesusing electronic health records$236,550
R00 · FY2021 · LM · contact PI
Multi-objective representation learning methods for interpetable predictions of patient outcomesusing electronic health records$89,401
K99 · FY2020 · LM · contact PI
Multi-objective representation learning methods for interpetable predictions of patient outcomesusing electronic health records$89,260
K99 · FY2019 · LM · contact PI