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Elveda Gozdas
Stanford University
$513,114
Attributed
$513,114
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 $249K · FY2022–25$250K$187.5K$125K$62.5K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$513,114 · 2
By mechanism
K99$264,114 · 1
R00$249,000 · 1
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- David H Rehkopf$9,082,747
- Joseph A Mikels$3,962,909
- Andrea Goldstein-Piekarski$9,792,215
- Valerie Chock$2,654,770
- Kathryn Leigh Humphreys$5,654,247
Others in their field
Other Rising Stars on “Adolescence”
- Christine W Hockett · Avera Mckennan$8,908,366
- Michael E. Roth · Public Health Institute$8,201,777
- Henry Sachs · Emma Pendleton Bradley Hospital$7,940,991
- Matthew Morrow Engelhard · Duke University$7,519,665
- Bhaven Mehta$7,276,100
- Michael Hogarth · University Of California, San Diego$5,162,770
Research focus
Adolescence2 Year OldAffectArchitectureAttentionBehavioralBiologicalBiophysicsBirthBrainBrain RegionBrain TissueCognitiveCognitive FunctionConnectome Based Predictive ModelingDesignDiagnostic ToolDiffusion Magnetic Resonance ImagingEarly Detection BiomarkersEarly InterventionEducationEffective TherapyEnvironmental Risk FactorEpidemic
Grant awards (3)
Predicting long-term outcomes in preterm infants using multimodal neuroimaging techniques and environmental factors$249,000
R00 · FY2025 · HD · contact PI
Predicting long-term outcomes in preterm infants using multimodal neuroimaging techniques and environmental factors$132,057
K99 · FY2023 · HD · contact PI
Predicting long-term outcomes in preterm infants using multimodal neuroimaging techniques and environmental factors$132,057
K99 · FY2022 · HD · contact PI