← Leaderboards
Alexander Weigard
University Of Michigan At Ann Arbor
$1,411,800
Attributed
$1,411,800
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 $430.6K · FY2021–25$500K$375K$250K$125K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,411,800 · 2
By mechanism
K23$982,800 · 1
R21$429,000 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Michigan At Ann Arbor
Same institution · by research overlap
- Kevin C Chung$13,606,879
- Arul M Chinnaiyan$35,112,976
- Jian Kang$4,059,475
- Xihong Lin$29,087,949
- Douglas Earl Schaubel$12,013,133
Others in their field
Other Emerging Leaders on “Trait”
- Leonard Freedman · Leidos Biomedical Research, Inc.$21,750,066
- Ashlin Bolton · Broad Institute, Inc.$19,699,069
- Edoardo Fiorillo · Istituto Di Ricerca Genetica E Biomedica Irgb Cnr$11,408,934
- Conor O'Neill · University Of California, San Francisco$10,429,562
- Melissa Gymrek · University Of California, San Diego$9,683,319
- Jesse M Engreitz · Stanford University$9,480,876
Research focus
TraitLinkPerformanceTheoriesCognitionNeurosciencesIndividual DifferencesNeurosciences ResearchPsychopathologySubstance UseRisk FactorsCognitiveDesignComputer ModelsBrainEtiologyAdvanced DevelopmentBehavioralBehaviorAdolescenceConnectomeDiagnosisAdultCollection
Grant awards (7)
Leveraging computational models of neurocognition to improve predictions about individual youths' risk for substance use disorders$196,560
K23 · FY2025 · DA · contact PI
Leveraging computational models of neurocognition to improve predictions about individual youths' risk for substance use disorders$196,560
K23 · FY2024 · DA · contact PI
Efficiency of evidence accumulation (EEA) as a higher-order, computationally defined RDoc construct$195,000
R21 · FY2024 · MH · contact PI
Efficiency of evidence accumulation (EEA) as a higher-order, computationally defined RDoc construct$234,000
R21 · FY2023 · MH · contact PI
Leveraging computational models of neurocognition to improve predictions about individual youths' risk for substance use disorders$196,560
K23 · FY2023 · DA · contact PI
Leveraging computational models of neurocognition to improve predictions about individual youths' risk for substance use disorders$196,560
K23 · FY2022 · DA · contact PI
Leveraging computational models of neurocognition to improve predictions about individual youths' risk for substance use disorders$196,560
K23 · FY2021 · DA · contact PI