My research focuses on studying nonlinear phenomena arising mainly in biological/ecological or physical settings, with applications from data science. I use mathematical techniques from dynamical systems combined with spectral graph theory, probability, and numerical analysis to investigate coupled systems’ self-organizing dynamics such as synchronization, pattern formation, and diffusion phenomena. My research also embraces data science applications for understanding the complex structures of natural systems and their interplay with emergent collective dynamics. My interests also extend to ecosystem stability, species diversity, computational neuroscience, and social dynamics.