
I am a driven first-year doctoral student and innovative research fellow with a strong foundation in computational modeling, quantitative analysis, and technical writing. Proficient in Python and Fortran, I build high-fidelity simulations, develop predictive frameworks, and extract insights from complex data. Detail-oriented and results-driven, I am known for designing robust models and tackling challenges creatively with unconventional solutions that improve forecasting accuracy and support data-driven decisions.