Holding a PhD in Astronomy and Astrophysics from Michigan Technological University, I am currently a Postdoctoral Research Associate at Michigan State University. My core competencies lie in advanced data analysis and the application of machine learning techniques, such as Convolutional Neural Networks, for astrophysical research. With proficiency in R and quantitative modeling, my work enhances the efficiency and accuracy of high-level data interpretation.Our team collaborates with the IceCube and HAWC collaborations, working on groundbreaking research to understand the origins of astronomical objects. My recent contributions include developing Python scripts for large dataset analyses and leading multi-collaboration efforts. These experiences, coupled with my teaching background, allow me to bring a unique perspective to our team, fostering a culture of innovation and a dedication to scientific discovery.