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Katia Harle
University Of California, San Diego
$109,324
Attributed
$109,324
Total exposure
4
Grants
4
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 $56K · FY2014–25$100K$75K$50K$25K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$109,324 · 1
VA$0 · 3
By mechanism
F32$109,324 · 1
I01$0 · 2
IK2$0 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Diego
Same institution · by research overlap
- Scott L Letendre$25,948,231
- Christina E Wierenga$5,438,555
- Andrea Spadoni Townsend$1,430,103
- Nicole A Stadnick$4,589,463
- Erin Elizabeth Sundermann$5,877,193
Others in their field
Top investigators on “Bayesian Modeling”
- James E. Gern · University Of Wisconsin-Madison$51,404,432
- David S Perlin · Hackensack University Medical Center$33,316,814
- Cecilia Sungmin Lee · University Of Washington$32,086,169
- Sandra H Harpole · Mississippi State University$23,000,000
- Peter Karl Sorger · Massachusetts Institute Of Technology$18,155,127
- Supinda Bunyavanich · Icahn School Of Medicine At Mount Sinai$13,086,657
Research focus
Bayesian ModelingSeveritiesResponseExpectationNeuroimagingPrefrontal CortexRewardsLearningEnvironmentBeliefMental DepressionOutcome StudyAftercarePost-Traumatic Stress DisordersPredict Clinical OutcomeProbabilityClinical AssessmentsAnhedoniaAffectLinkFunctional Magnetic Resonance ImagingCognitiveBrainPlay
Grant awards (12)
The Neurocomputational mechanisms of anhedonia and their role in predicting alcohol use and treatment responsiveness in Veterans with Alcohol Use Disorder"$0
I01 · FY2025 · VA · contact PI
Neuro-computational predictors of treatment responsiveness in trauma-exposed Veterans.$0
I01 · FY2025 · VA · contact PI
The Neurocomputational mechanisms of anhedonia and their role in predicting alcohol use and treatment responsiveness in Veterans with Alcohol Use Disorder"$0
I01 · FY2024 · VA · contact PI
Neuro-computational predictors of treatment responsiveness in trauma-exposed Veterans.$0
I01 · FY2024 · VA · contact PI
Neuro-computational predictors of treatment responsiveness in trauma-exposed Veterans.$0
I01 · FY2023 · VA · contact PI
Bayesian modeling of mood-driven decision biases for predicting clinical outcome$0
IK2 · FY2022 · VA · contact PI
Bayesian modeling of mood-driven decision biases for predicting clinical outcome$0
IK2 · FY2021 · VA · contact PI
Bayesian modeling of mood-driven decision biases for predicting clinical outcome$0
IK2 · FY2020 · VA · contact PI
Bayesian modeling of mood-driven decision biases for predicting clinical outcome$0
IK2 · FY2019 · VA · contact PI
Bayesian modeling of mood-driven decision biases for predicting clinical outcome$0
IK2 · FY2018 · VA · contact PI
Bayesian Modeling of Mood Effects on Decision-Making in Amphetamine Dependence$56,042
F32 · FY2015 · DA · contact PI
Bayesian Modeling of Mood Effects on Decision-Making in Amphetamine Dependence$53,282
F32 · FY2014 · DA · contact PI