Mathematical Epidemiology professional with a strong foundation in mathematics and computer science. Experienced in applying mathematical modeling, machine learning, and computational methods to analyze disease dynamics and develop data-driven health solutions. Proficient in scientific and web technologies, combining analytical, research, and programming skills to deliver actionable insights for public health and data-intensive projects.