← Leaderboards
Roberto Goya-Maldonado
University Of Southern California
$966,698
Attributed
$1,933,396
Total exposure
1
Grants
0
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.
Funding over time
peak $663.8K · FY2023–25$1M$750K$500K$250K$0
'23
'24
'25
Funding mix
By agency
NIH$1,933,396 · 1
By mechanism
R01$1,933,396 · 1
Top collaborators
- Paul M Thompson4 shared
Most similar at University Of Southern California
Same institution · by research overlap
- Quanzheng Li$6,872,728
- Maryam Shanechi$8,447,090
- Arthur W Toga$135,966,223
- Danny Jiong Jiong Wang$29,986,445
- Dominique Duncan$3,859,074
Others in their field
Other Rising Stars on “Code”
- Katherine M Thibault · Battelle Memorial Institute$134,148,552
- Jeffrey Leintz · National Opinion Research Center$40,628,545
- Maximilian Haeussler · University Of California Santa Cruz$12,592,563
- Daofeng Li · Salk Institute For Biological Studies$9,887,266
- Laura T Herriott · Carnegie Mellon University$6,279,999
- Fergal James Martin · University Of California Santa Cruz$5,992,279
Research focus
CodeClinical DataClinical Predictors3-DimensionalArtificial IntelligenceAlternative TreatmentArtificial Intelligence MethodAdverse EffectsAustraliaBiobankBiological MarkersBiosignatureBrainBrain BasedBrain DiseasesBrain ImagingBrain Magnetic Resonance ImagingBrain MappingBrain RegionChinaChineseClassificationClinical AssessmentsCohort
Grant awards (4)
Global Deep Learning Initiative to Understand Outcomes in Major Depression$491,712
R01 · FY2025 · MH
Global Deep Learning Initiative to Understand Outcomes in Major Depression$140,400
R01 · FY2025 · MH
Global Deep Learning Initiative to Understand Outcomes in Major Depression$637,483
R01 · FY2024 · MH
Global Deep Learning Initiative to Understand Outcomes in Major Depression$663,801
R01 · FY2023 · MH