As a dedicated and interdisciplinary researcher with a Master’s degree in Applied Mathematics from San Diego State University, I specialize in dynamical systems and mathematical biology. My academic journey, which began with a Bachelor’s degree in Applied Mathematics from UCLA, has equipped me with a robust foundation in machine learning, numerical methods, and statistical analysis.During my tenure as a Graduate Research Assistant at San Diego State University, I have developed and implemented multiscale models to explore complex biological processes, such as mammary gland branching morphogenesis and the interplay between circadian rhythms and olfaction. I have a proven track record of conducting high-impact research, as evidenced by my publications on the effects of tensional force on mammary gland development and the relationship between sleep patterns and diet. My technical skills include proficiency in Python, MATLAB, C++, and R, as well as experience with statistical and machine learning techniques.In addition to my research, I am passionate about mentoring the next generation of scientists and have provided guidance to undergraduate students on research methodologies and data analysis. I look forward to leveraging my skills and experience in dynamic, interdisciplinary environments to drive forward impactful research and discoveries.