Personal Website

Hi! 😊

I’m Pranav Manjunath, a Biomedical Engineering PhD candidate at Duke University in Dr. Timothy Dunn’s lab (t.Dunn Lab). My research focuses on developing multimodal, explainable medical AI systems—integrating medical imaging, clinical text, and patient data—to enhance decision support for traumatic brain injury (TBI) care. I collaborate closely with healthcare providers to integrate their knowledge and expertise into the design of effective multimodal AI algorithms through mixed‑methods research.
I am currently a visiting researcher at Carnegie Mellon University in the Data Interactions Group (DIG) with Dr. Adam Perer. I will design provider‑facing AI interfaces and conduct mixed‑methods studies to evaluate how AI‑driven decision‑support tools integrate into and enhance TBI care workflows.
Interests: Multimodal Medical AI, Clinician–AI Interaction

I am also a professional violinist trained in Indian classical Carnatic music, actively performing and teaching. I’m part of the Boston Brothers, a violin‑duet band performing classical, fusion, and film‑based shows around the world. More about my music!

Recent Updates

  • Presenting my recent provocation paper at CHI 2026 for the Toward Relationship-Centered Care with AI workshop in Barcelona!
  • Presented a Research Talk at Purdue University with over 200 attendees!
  • Starting Visiting Researcher Position at Carnegie Mellon University
  • Best Paper Award (Trust Your Neighbors) - Journal of Biomedical Health Informatics!
  • Recent paper on extracting meaningful insights from radiology reports accepted at ML4H 2025!
  • Awarded the NSF-EMBS-Google Sponsored Young Professional NextGen Scholar Recognition
  • Paper accepted Journal of Biomedical Health Informatics - Presenting an Oral at IEEE BHI 2025!
  • Paper accepted IEEE BHI 2025 for Oral Presentation - See you in Atlanta!
  • Keynote Speaker - MIDS Graduation 2025
  • AI4TBI receieved Student Research Award - 2025
  • Awarded Rhodes Graduate Fellowship for Interdisciplinary Research - 2024
  • Received over $30,000 in competitive funding to co-lead AI4TBI Bass Connections Project (2024-2025)
  • Best Student Paper Award - AIME 2024