I am a Computational Physicist and Data Scientist specializing in high-performance simulations, numerical modeling, and scientific computing. My doctoral research focused on particle-in-cell (PIC) simulations of partially magnetized plasma instabilities, revealing key mechanisms that drive transport and instability in magnetized systems.

My work bridges theory and application through collaborations with institutions such as the Princeton Plasma Physics Laboratory and Applied Materials Inc. These projects integrate advanced computational modeling with experimental diagnostics to better understand and predict complex physical systems.

As an educator, I bring computational thinking and active learning into the classroom. Having taught Physics at both secondary and university levels, I design lessons that use visualization tools and interactive methods to help students connect fundamental theory with real-world applications.

I am passionate about leveraging data-driven methods and computational modeling to uncover insights, support innovation, and solve complex scientific and technological challenges.

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