I am an Undergraduate Researcher at Princeton University and a Scientific Researcher with a passion for atmospheric sciences and machine learning. I am pursuing a Bachelor of Science degree in Computer Science/Geosciences + Machine Learning at Princeton, where I joined a primarily graduate-level research group headed by Gabriel Vecchi, a renowned expert in climate science and impacts. I have also completed courses at the University of Chicago, Loyola University Chicago, and Brown University, enhancing my academic and professional skills.As an Undergraduate Researcher and a Scientific Researcher, I have been involved in multiple projects related to climate change, extreme weather, and data-driven solutions. I have conducted data analysis, statistical modeling, and presentation of results using various tools and frameworks, such as Microsoft Word, Excel, Python, R, and MATLAB. I have also authored several abstracts and papers. I am motivated by the opportunity to contribute to the advancement of scientific knowledge and the development of innovative applications that can address the pressing challenges of our time, such as climate change. I value collaboration, diversity, and curiosity, and I seek to join teams that share these values and can offer me a stimulating and supportive environment to grow and learn.