Ryan Ofman
About Ryan Ofman
Ryan Ofman is a researcher at the Yale Department of Astronomy, where he has worked since 2019. He holds Bachelor's degrees in Philosophy and Astrophysics from Yale University and has developed machine learning techniques for galaxy classification.
Work at Yale University
Ryan Ofman has been a researcher in the Yale Department of Astronomy since 2019. His role involves applying advanced techniques in astrophysics and machine learning to various research projects. He previously served as a Yale College Summer Research Fellow in 2019, where he contributed to research initiatives for a two-month period. His ongoing work at Yale focuses on the classification and categorization of galaxies through machine learning methodologies.
Education and Expertise
Ryan Ofman studied at Yale University from 2018 to 2022, earning two Bachelor's degrees in Philosophy and Astrophysics. This dual focus has equipped him with a unique perspective on the ethical implications of scientific research. His academic background supports his current research interests, particularly in the intersection of machine learning and astrophysics.
Background
Before his current position at Yale University, Ryan Ofman interned at the USC Viterbi School of Engineering in the summer of 2017. During this two-month internship, he gained practical experience in engineering research, which contributed to his development as a researcher in astronomy and machine learning.
Research Focus
Ryan Ofman specializes in developing machine learning techniques for classifying and categorizing galaxies. His research aims to enhance the understanding of astronomical data through innovative computational methods. He is particularly passionate about the ethical and responsible conduct of science, emphasizing the importance of integrity in research practices.