Summary
Javid Dadashkarimi is a postdoctoral researcher and AI specialist with a decade of experience applying deep learning and NLP to medical and neuroimaging problems, currently developing diffusion MRI methods and multimodal AI tools at the University of Pennsylvania. His work bridges microscopy, MRI, and electrophysiology to enable treatment planning and radiomic biomarker discovery across brain tumors, TBI, cavernomas, and autism, and has appeared in top venues including Nature NPP. He has a strong track record improving segmentation accuracy (including fetal and surgical-planning use cases) and translating algorithms like FreeSurfer to challenging domains. Javid also evaluates frontier AI reasoning as an industry contractor and mentors students in ML for healthcare, showing a rare blend of rigorous research, applied tool-building, and pedagogy. He combines Yale-trained technical depth with hands-on system development that links micro-scale histology to clinical imaging for more personalized diagnostics.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Yale University
Bachelor's degree En Route MEng (2015) Computer Software Engineering, Bachelor's degree En Route MEng (2015) Computer Software Engineering at University of Tehran