Arnob Ray is a postdoctoral research fellow at the Institute for Experiential AI. Arnob Ray completed his Ph.D. from the Indian Statistical Institute in Kolkata in 2022 on the topic of nonlinear dynamical systems. Now, his research focuses on 'climate internal variability and its importance for climate adaptation'. Here, he is trying to characterize it using the climate network approach. He looks at the properties of nonlinear dynamical systems in climate data, as well as the underlying structure of data generated from Earth system models.

‍Ph.D Area: Physics & Applied Mathematics

Lead Mentor: Auroop Ganguly

Project Name: Machine Learning and the Environment