Summary
Aditya Gilra is a Vienna-based researcher with 16 years of experience probing how the brain learns and computes using theoretical models, spiking neural networks, control theory and machine learning. Currently at WU Vienna in ecological economics, he brings a rare interdisciplinary blend—applying computational neuroscience tools to questions about economics and complex systems. His career spans leading research roles across top European institutions (CWI, EPFL, IST Austria, Bonn, Sheffield) and a PhD from TIFR, reflected in a substantial publication record. He combines deep theoretical expertise with extensive simulation and modeling practice, often translating neural-learning principles into machine-learning frameworks. Notably, his trajectory includes early engineering and technical-management roles, giving him practical systems and hardware insight behind his theoretical work. This mix of rigorous theory, hands-on simulation, and cross-domain curiosity positions him to tackle novel problems at the intersection of brain, algorithms and society.
16 years of coding experience
14 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy (Ph.D.), Computational Neuroscience, Doctor of Philosophy (Ph.D.), Computational Neuroscience at Tata Institute of Fundamental Research (NCBS Bangalore), India
High School, High School at Delhi Public School - R. K. Puram
Master’s Degree, Physics, Master’s Degree, Physics at Tata Institute of Fundamental Research, Mumbai
English, Hindi, Bengali