LabCompass

Sumra Bari

Medicine · Purdue University West Lafayette

Early career · publishing since 2017

Publications

35

Citations

308

Est. group size

~1

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

Sumra Bari's research examines mental health and behavior using brain imaging and computational/machine-learning approaches. Earlier work focused on neuroimaging methods for studying mild traumatic brain injury and brain connectivity, while more recent work uses small sets of judgment, survey, and behavioral variables to predict outcomes like anxiety, suicidality, substance use, and COVID-19 vaccination uptake. The work spans neuroscience, psychiatry, and public health, often using interpretable statistical or machine-learning models rather than purely imaging-based methods.

Neuroimaging (MRI/fMRI) of brain injury and connectivityMental health prediction using behavioral and survey dataCOVID-19 related mental health and behaviorMachine learning for interpretable health predictionsTraumatic brain injury research

Publication output has grown from a low base around 2017 to a peak in 2022, followed by variable but continued activity through 2024, averaging under 4 papers per year over the last 5 years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
2017: 1 publication172018: 2 publications182019: 4 publications192020: 4 publications202021: 4 publications212022: 9 publications9222023: 3 publications232024: 6 publications24252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×4
  • JMIR Formative Research×3
  • Journal of Neurotrauma×2
  • Scientific Reports×2
  • npj Mental Health Research×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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