Michael Teng
About Michael Teng
Michael Teng is a Research Scientist at Motional, specializing in machine learning applications, particularly in generative modeling and Bayesian inference. He has a strong academic background with a PhD from the University of Oxford and extensive experience in various research and engineering roles.
Work at Motional
Michael Teng has been employed at Motional as a Research Scientist since 2022. In this role, he focuses on developing production-ready applications for machine learning models. His work involves applying advanced techniques in artificial intelligence and machine learning to enhance the capabilities of autonomous vehicle technologies.
Education and Expertise
Michael Teng earned a Doctor of Philosophy (PhD) in Machine Learning from the University of Oxford, where he studied from 2017 to 2022. He also holds a Bachelor of Science (BS) in Computer Science from the California Institute of Technology, completed in 2015. His academic background provides a strong foundation in generative modeling, Bayesian inference, and time-series analysis.
Background
Prior to his current position, Michael Teng held various roles in research and engineering. He worked as a Doctoral Student at the University of Oxford for five years and had brief stints as an Applied Scientist at Amazon Web Services in 2021, and as a Research Engineer at NASA's Jet Propulsion Laboratory in 2014. His experience also includes software engineering roles at Look Messaging and Hive.
Research Focus
Michael Teng specializes in generative modeling and Bayesian inference within the realm of artificial intelligence and machine learning. His research includes a focus on reinforcement learning methods, particularly for planning tasks. This specialization supports his goal of finding practical applications for machine learning in various industries.
Professional Experience
Michael Teng has accumulated diverse professional experience across several prestigious institutions. He served as a Research Intern at the University of Chicago Medicine from 2011 to 2012 and completed a Research Internship at the California Institute of Technology in 2013. His career also includes a role as a Software Engineer at Hive and a Research Engineer position at NASA's Jet Propulsion Laboratory.