Ryan T. is an experienced researcher and engineer with a Bachelor of Science in Mechanical and Aerospace Engineering from UCLA. Currently serving as an AI + ML & Controls Researcher at the University of California, Los Angeles since November 2020, Ryan has developed advanced control algorithms for wind turbine blades using deep reinforcement learning and created machine learning models for fluid dynamics analysis. Previous roles include a Systems & Software Engineering Intern at General Atomics, where Ryan created an app to streamline UAV documentation, and an Aerospace Engineer at NASA Ames Research Center, focusing on drone design for medical supply delivery. Additional roles encompass software engineering with the UCLA SMART Project, research apprenticeship at UCLA’s Nano Transport Research Group, and policy research for Alex Lee’s state assembly campaign. Ryan's diverse skill set encompasses programming in Python, JavaScript, Solidworks, and data visualization, coupled with experience in journalism and educational mentoring.
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