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Aristeidis Sotiras
Washington University
$2,788,208
Attributed
$2,788,208
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 $583.3K · FY2021–25$1M$750K$500K$250K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,788,208 · 1
By mechanism
R01$2,788,208 · 1
Top collaborators
No co-investigators on record.
Most similar at Washington University
Same institution · by research overlap
- David C Van Essen$41,759,902
- Bradley A Evanoff$96,879,274
- Daniel Scott Marcus$32,798,713
- Kenneth S Polonsky$50,574,664
- Meghan C Campbell$6,368,332
Others in their field
Other Emerging Leaders on “Alzheimer&Apos”
- Lance Allen Johnson · University Of Kentucky$7,508,882
- Hyacinth Idu Hyacinth · University Of Cincinnati$6,781,590
- Yi Su · Weill Medical Coll Of Cornell Univ$6,486,733
- Julia Tcw · Icahn School Of Medicine At Mount Sinai$6,079,215
- Jessica Brooke Langbaum · Banner Health$6,050,741
- Timothy Yikai Huang · Sanford Burnham Prebys Medical Discovery Institute$5,936,362
Research focus
Alzheimer&AposComplexBrain DiseasesAffectAmericanAmyloidAmyloid ProteinsAnatomyCognitionAutopsyBiologicalBiological MarkersBiometryBrainAging BrainCase ControlCerebrovascular DisordersClinical TrialsComorbidityCognitiveCognitive ChangeCohortCommunity BurdenData Collection
Grant awards (5)
Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's Disease$571,676
R01 · FY2025 · AG · contact PI
Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's Disease$583,342
R01 · FY2024 · AG · contact PI
Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's Disease$561,932
R01 · FY2023 · AG · contact PI
Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's Disease$535,629
R01 · FY2022 · AG · contact PI
Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's Disease$535,629
R01 · FY2021 · AG · contact PI