Research spans interdisciplinary domains at the interface of Computational Science, Plasma Engineering, Data Science, and Applied AI
Recent work focuses on applying Computational Methods, Deep Learning, and High Performance Computing to complex problems in Low Temperature Plasmas, Fusion Energy, and other data-intensive fields
Leads a research group developing computational and machine learning-based data-driven models for critical scientific and engineering applications
Emphasizes numerical simulations on advanced HPC systems, synthetic data generation, information visualization, and interpretation of large-scale data
Prioritizes enhancing model interpretability, accuracy, and efficiency to extract insights from complex data in high-stakes domains