IAI

Anisha Kashyap has an interdisciplinary background in nonlinear dynamics, chaos theory, and computational physics, with applications ranging from biological and mechanical systems to astrophysical sources. Her Ph.D. work modeled the nonlinear dynamics of branched structures, while her postdoctoral research at IUCAA used recurrence analysis and machine learning to analyze binary star systems and detect precursor signals in transients. Her interests center on understanding emergent behavior in complex systems.

She joined TCG CREST as a Research Associate under Dr. Proloy Das in 2026.