Nature is full of mysteries, and as a scientist, I consider myself fortunate to explore its hidden patterns every day. My research interests lie primarily in dynamical systems and systems biology. Previously, I worked in plasma physics and microwave tomography. My core skill set includes averaging theory, ordinary and partial differential equations, deterministic and stochastic simulation, and scientific computing. I am also an avid programmer! In my postdoctoral research, I study how biological cells use intracellular signaling pathways to integrate and process environmental signals. A key component of these pathways is the Mitogen-Activated Protein Kinase (MAPK) cascade, found in almost all eukaryotic cells. I am trying to answer a long-standing question: Why do these cascades have a three-tier structure?  Additionally, I am investigating the possible role of these cascades in computation. 

During my PhD, I used averaging techniques to investigate fundamental questions about the oscillatory behavior of specific coupled dynamical systems. In particular, I applied these techniques to analyze the collective dynamics of a periodically driven collisionless plasma, the conformational behavior of a DNA molecule, and the robustness of a biomolecular oscillator to dynamic perturbations.