Michael Keim
About Michael Keim
Michael Keim is a Graduate Research and Teaching Assistant at Yale University, specializing in the formation and evolution of galaxies. He has a background in Physics and Astronomy, with research experience at Leiden Observatory and Washington University in St. Louis.
Work at Yale University
Michael Keim has been employed at Yale University as a Graduate Research and Teaching Assistant since 2020. In this role, he focuses on research related to the formation and evolution of galaxies under the mentorship of Professor Pieter van Dokkum. His responsibilities include assisting in teaching various astronomy courses and contributing to ongoing research projects. He is currently pursuing a Doctor of Philosophy (PhD) in Astronomy, which he is expected to complete in 2025.
Education and Expertise
Michael Keim holds a Bachelor of Arts in Physics from Washington University in St. Louis, where he studied from 2014 to 2018. He furthered his education at Universiteit Leiden, earning a Master of Science in Astronomy from 2018 to 2020. Currently, he is completing his PhD in Astronomy at Yale University. He has formal training in machine learning and distributed data mining, which he acquired through courses at Leiden University.
Research Experience
Before joining Yale University, Michael Keim worked as a Research Assistant at Leiden Observatory from 2018 to 2020. He also gained experience at Washington University in St. Louis, where he served as a Research Assistant and Teaching Assistant in the Physics Department from 2016 to 2018. His research primarily focuses on the analysis of galaxy formation and evolution, utilizing various programming languages and software packages for data analysis.
Publications and Contributions
Michael Keim has authored six scientific papers, with two as the first author, which have collectively received 37 citations. His research contributions include applying popular algorithms to TB-scale data and utilizing Keras Neural Networks for image classification. He specializes in modeling structures found in multi-wavelength images using Python, demonstrating his proficiency in advanced computational techniques.
Teaching Experience
Michael Keim has served as a teaching assistant for four physics courses and three astronomy courses during his academic career. His teaching experience includes guiding undergraduate students and facilitating learning in complex scientific concepts. Additionally, he has led two teams of five computer science PhD students in analyzing radio survey data, showcasing his leadership and collaborative skills in an academic setting.