I am an applied mathematician with a Ph.D. in Mathematics from BITS Pilani and postdoctoral research experience at Tel Aviv University, Israel. My expertise lies in mathematical modelling, nonlinear dynamical systems, differential equations, stability and bifurcation analysis, and numerical simulation.

I have experience in computational research, data analysis, Bayesian inference, likelihood-based methods, and Markov Chain Monte Carlo (MCMC) for parameter estimation and uncertainty quantification. My research interests include data fitting, mathematical modelling of biological and epidemiological systems, and data-driven approaches to understanding complex real-world problems.

I have published research articles in international journals and received competitive CSIR Junior and Senior Research Fellowships. I am particularly interested in integrating applied mathematics, statistics, scientific computing, and machine learning, including physics-informed neural networks (PINNs), for model development, data fitting, and parameter estimation. I am also passionate about teaching and interdisciplinary research.