Physics and Computer Science student with proven expertise in quantitative analysis, statistical modeling, and algorithmic problem-solving. Developed a genomic data visualization tool (Python/Flask) that reduced research analysis time by 90% and validated research integrity by replicating complex graphs in MATLAB. Passionate about applying advanced mathematics (Calculus III, Probability, Differential Equations) and programming (Python, C++, R) to solve high-impact problems.