Harini Sudha J G

Harini Sudha uses Deep Learning to uncover fundamental principles of retinal perception across species. She is a PhD researcher at the Hertie AI and a member of the ELLIS program. She is particularly interested in how vision systems achieve robustness and adapt to noise, shifting task demands and environmental conditions. She is interested in linking retinal processing with behavioral ecology through explainable computational models for understanding sensory system evolution and diversity. To do so, she explores approaches from Representation Learning and Deep Reinforcement Learning. Through her discoveries, she aims to inform next generation design of robust artificial vision systems.