Summary
Shreya Kapoor is an interdisciplinary researcher and PhD student combining cognitive neuroscience, AI, and computer vision with nine years of hands-on experience in neuroimaging and computational modelling. She has developed preprocessing pipelines for multimodal brain data (fMRI, OPM‑MEG, fNIRS), optimized neural fiber‑tracking in C++, and solved the MEWS problem during her master's work to enable gender classification from brain structure. Her work at FAU and Max Planck bridged human and machine perception, produced insights on ambiguous visual stimuli presented at ICLR workshops, and leverages HPC for large‑scale statistical inference. Driven to translate research into impact, she aims to apply fiber‑tracking and cognitive models to medical decision support and AI ethics in industry. Based in Erlangen, she brings a rare mix of physics, life‑science informatics, and practical visualization/graphics expertise that helps turn complex neurodata into actionable scientific and clinical insights.
9 years of coding experience
6 years of employment as a software developer
B.Sc. (H), Physics, B.Sc. (H), Physics at Miranda House, University Of Delhi
Masters of Science, Life Science Informatics, Masters of Science, Life Science Informatics at The University of Bonn
All India Senior School Certificate Examination, Science with Computer Science, All India Senior School Certificate Examination, Science with Computer Science at Delhi Public School - R. K. Puram
Hindi, German, English