Carlton S.
About Carlton S.
Carlton S. is a Graduate Teaching Fellow at Yale University, with a strong interest in the intersection of physics, mathematics, computation, and biology. He has a background in physics and mathematics, having earned a Bachelor of Science and a Bachelor of Arts from the University of Florida, and is currently pursuing a PhD in Physics at Yale.
Current Role at Yale University
Currently, Carlton S. serves as a Graduate Teaching Fellow at Yale University. In this role, he engages with students in advanced physics courses, providing instruction and support. His position allows him to integrate his interests in physics, mathematics, computation, and biology, fostering a multidisciplinary approach to education.
Education and Expertise
Carlton S. holds a Doctor of Philosophy (PhD) in Physics from Yale University, where he has been studying since 2022. Prior to this, he earned a Bachelor of Science (BS) in Physics and a Bachelor of Arts (BA) in Mathematics from the University of Florida, completing his studies there from 2018 to 2022. His educational background equips him with a strong foundation in both theoretical and applied sciences.
Research Experience
Carlton S. has a diverse research background. He worked as an Undergraduate Research Assistant at the Saxena Lab for Neural Control at the University of Florida, focusing on neural control mechanisms from 2021 to 2022. Additionally, he completed a research internship at the Simons Foundation in 2021, where he contributed to projects aimed at advancing research in mathematics and basic sciences.
Teaching Experience
Carlton S. has significant teaching experience, having served as a Learning Assistant for General Physics I & II at the University of Florida from 2021 to 2022. In this capacity, he provided guidance and support to students, helping them navigate foundational physics concepts. His role as a Graduate Teaching Fellow at Yale further enhances his teaching credentials.
Previous Work at NYU Center for Data Science
In 2021, Carlton S. worked as a CDS Undergraduate Research Program Fellow at the NYU Center for Data Science for four months. This position allowed him to explore the intersection of data science with his interests in physics and mathematics, contributing to his overall academic and professional development.