Summary
Pranav Manjunath is a PhD researcher and applied ML engineer with eight years of experience building clinician-centric AI for traumatic brain injury, currently working across Duke, Carnegie Mellon, and industry as a PhD Research Intern at Abridge. He blends deep technical expertise in multimodal health data (CT imaging, reports, tabular) with strong translational experience—co-founding and leading AI4TBI, teaching graduate ML and cloud courses, and mentoring students. His work emphasizes state-of-the-art algorithms for outcome prediction and interactive tools for clinicians, informed by hands-on projects in survival modeling and health data pipelines. A high-achieving Duke alumnus (MIDS, GPA 3.96) with a computer science undergraduate background, he pairs rigorous research with practical product collaboration from internships and capstone projects. Unusually for an ML researcher, he is also a professionally trained Carnatic violinist, reflecting a disciplined creative practice that complements his analytical work.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at PES University
Doctor of Philosophy - PhD Biomedical/Medical Engineering, Doctor of Philosophy - PhD Biomedical/Medical Engineering at Duke University
High School Diploma ISC, High School Diploma ISC at Mallya Aditi International School
English, Kannada