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Hiroki Nariai
University Of California Los Angeles
$726,165
Attributed
$726,165
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 $242.1K · FY2023–25$250K$187.5K$125K$62.5K$0
'23
'24
'25
Funding mix
By agency
NIH$726,165 · 1
By mechanism
K23$726,165 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California Los Angeles
Same institution · by research overlap
- Jerome None Engel$22,981,738
- Richard Staba$6,894,321
- Anatol Bragin$7,224,642
- Istvan Mody$21,296,369
- Gary W Mathern$5,194,542
Others in their field
Other Rising Stars on “Algorithms”
- Maximilian Haeussler · University Of California Santa Cruz$14,765,386
- Samuel W Teitelbaum · Arizona State University$13,377,213
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Eric Anderson · Columbia University Health Sciences$11,474,975
- Jinsy Andrews · Columbia University Health Sciences$11,474,975
- Suma Babu · Massachusetts General Hospital$11,004,714
Research focus
AlgorithmsAreaBehavioralBiologicalBiological MarkersBiomarker IdentificationBrainBrain AbnormalitiesBrain RegionBrain TissueCharacteristicsChildChildhoodChildhood EpilepsyChronicClinical ResearchClinical TrialsCohortCortex MappingDeep LearningDeep Learning AlgorithmDeep Learning ModelDexterityAffect
Grant awards (3)
Refining neurophysiological biomarkers of epilepsy using deep learning to guide pediatric epilepsy surgery$242,055
K23 · FY2025 · NS · contact PI
Refining neurophysiological biomarkers of epilepsy using deep learning to guide pediatric epilepsy surgery$242,055
K23 · FY2024 · NS · contact PI
Refining neurophysiological biomarkers of epilepsy using deep learning to guide pediatric epilepsy surgery$242,055
K23 · FY2023 · NS · contact PI