Olawale Salaudeen
About Olawale Salaudeen
Olawale Salaudeen is a Year Round R and D Intern at Sandia National Laboratories, focusing on applying machine learning techniques for causal discovery in observational datasets.
Title
Olawale Salaudeen is currently a Year Round R and D Intern at Sandia National Laboratories. His role focuses on applying machine learning techniques for causal discovery in observational datasets.
Previous Roles at Multi-robot Laboratory
Olawale Salaudeen worked as an Undergraduate Researcher at the Multi-robot Laboratory from 2018 to 2019. During this period, he contributed to various research projects and initiatives involving robotics and automation.
Experience at Energy Systems Laboratory
Olawale Salaudeen served as a Student Software Developer at Energy Systems Laboratory from 2016 to 2018 in College Station, Texas. During his tenure, he was responsible for developing software solutions to support energy systems research and projects.
Educational Background
Olawale Salaudeen holds a Doctor of Philosophy degree in Computer Science and Philosophy from the University of Illinois at Urbana-Champaign, completed from 2019 to 2024. He also earned a Bachelor of Applied Science in Mechanical Engineering from Texas A&M University, where he studied from 2015 to 2019. Additionally, he completed his high school education at Macarthur High School from 2011 to 2015.
Interdisciplinary Expertise
Olawale Salaudeen possesses a strong interdisciplinary background, combining expertise in computer science, philosophy, and mechanical engineering. His diverse educational experience supports his research and development work at Sandia National Laboratories, where he has been involved since 2018.