Michael Liu

Michael Liu is a knowledgeable professional interested in research areas pertaining to visual SLAM, graph representation learning, and domain adaptation. He holds a Master of Science - MS in Computer Science and Engineering from the University of California San Diego and a Bachelor's degree in Computer Science from Wheaton College. Additionally, he participated in a Summer Session in 2017 for CS161 Design and Analysis of Algorithms at Stanford University.

With a rich academic background, Michael has gained practical experience working at reputable organizations. He currently serves as a Software Dev Engineer at Apple. Previously, he was a Research Engineer Intern at TuSimple and held various teaching and research assistant roles at the University of California San Diego, Wheaton College, and Stanford University. Michael also has experience as a Research Assistant, Teaching Assistant, EVP of Finance and Technology (Student Government), and a Java Web Intern at iResearch.

Michael Liu's expertise lies in the intersection of computer science and engineering, focusing on cutting-edge technologies such as visual SLAM and graph representation learning. His contributions to research and industry positions him as a valuable asset in the field of computer science.