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Katharina Schultebraucks
New York University School Of Medicine
$6,916,506
Attributed
$6,916,506
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 $1.6M · FY2021–25$2M$1.5M$1M$500K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,916,506 · 2
By mechanism
R01$6,916,506 · 2
Top collaborators
No co-investigators on record.
Most similar at New York University School Of Medicine
Same institution · by research overlap
- Joshua Chodosh$25,591,376
- Mia Minen$5,282,334
- Alexander Glick$673,774
- Kate Burr Oliver$1,213,533
- Colleen Cuddy$1,380,192
Others in their field
Other Emerging Leaders on “Multimodality”
- Prasant Mohapatra · University Of California At Davis$54,247,459
- Dwayne Forquer · Leidos Biomedical Research, Inc.$50,844,487
- Christopher Barnaby Nelson · University Of Melbourne$28,282,846
- Olwen Hahn · Brigham And Women'S Hospital$23,760,502
- Hemali Phatnani · New York University School Of Medicine$20,549,056
- Rene S. Kahn · Icahn School Of Medicine At Mount Sinai$13,629,024
Research focus
MultimodalityPatient CareModalityEmotionsInterviewMydriasisDiagnosticFaceEmergency CareEmergency SituationDeep LearningFoundationsGazeHead MovementsAccident And Emergency DepartmentCovid-19 PandemicDigitalDisastersCare SystemsComputing MethodologiesCohortEmergency Department PhysicianAcute CarePatient Self-Report
Grant awards (9)
Point-of-care prognostic modeling of PTSD risk after traumatic event exposure using digital biomarkers and clinical data from electronic health records in the emergency department setting (PREDICT)$812,386
R01 · FY2025 · MH · contact PI
Early Signs:digital phenotyping to identify digital biomarkers for predicting burnout and cognitive functioning in ED clinicians (Early Signs)$701,880
R01 · FY2025 · HL · contact PI
Point-of-care prognostic modeling of PTSD risk after traumatic event exposure using digital biomarkers and clinical data from electronic health records in the emergency department setting (PREDICT)$824,251
R01 · FY2024 · MH · contact PI
Early Signs:digital phenotyping to identify digital biomarkers for predicting burnout and cognitive functioning in ED clinicians (Early Signs)$717,622
R01 · FY2024 · HL · contact PI
Point-of-care prognostic modeling of PTSD risk after traumatic event exposure using digital biomarkers and clinical data from electronic health records in the emergency department setting (PREDICT)$836,116
R01 · FY2023 · MH · contact PI
Early Signs:digital phenotyping to identify digital biomarkers for predicting burnout and cognitive functioning in ED clinicians (Early Signs)$742,479
R01 · FY2023 · HL · contact PI
Point-of-care prognostic modeling of PTSD risk after traumatic event exposure using digital biomarkers and clinical data from electronic health records in the emergency department setting$820,355
R01 · FY2022 · MH · contact PI
Early Signs: digital phenotyping to identify digital biomarkers for predicting burnout and cognitive functioning in ED clinicians$725,629
R01 · FY2022 · HL · contact PI
Early Signs: digital phenotyping to identify digital biomarkers for predicting burnout and cognitive functioning in ED clinicians$735,788
R01 · FY2021 · HL · contact PI