Summary
Surabhi Nath is a doctoral student at the Max Planck Institute for Biological Cybernetics and the Max Planck School of Cognition, bringing nine years of research experience at the intersection of computational modeling, decision-making, and cognitive science. Her work spans deep learning for medical imaging, EEG-based universal encoders, reinforcement learning models of human decision processes, and bio-inspired protein-ligand scoring, reflecting a breadth across neuroscience, vision, and bioinformatics. She has translated research into applied systems—from a TensorFlow Lite augmented-reality assistive app for blind readers to ensemble detectors for Indian mammograms—demonstrating sensitivity to real-world context and underrepresented populations. A creative thinker with training in data sonification and aesthetic-driven projects, she combines technical rigor with an unusual focus on perceptual and socio-cultural dimensions of data.
9 years of coding experience
Max Planck Society
High School, High School at The Mother's International School
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Indraprastha Institute of Information Technology, Delhi
Kannada, English, Hindi, German