Daniel Canuto, Ph.D., P.E.
About Daniel Canuto, Ph.D., P.E.
Daniel Canuto, Ph.D., P.E. is an engineer with extensive experience in computational fluid dynamics and systems for fluid transport, heat transfer, and manufacturing. He has held positions at various institutions, including UCLA and Exponent, and has a strong academic background in mechanical and aerospace engineering.
Work at Exponent
Daniel Canuto has been employed at Exponent since 2021 as an Engineer. Prior to this role, he served as an Associate at Exponent from 2019 to 2021. His work at the company is focused on applying his engineering expertise to various projects, leveraging his background in mechanical and aerospace engineering.
Education and Expertise
Daniel Canuto earned his Doctor of Philosophy (Ph.D.) in Mechanical Engineering from the University of California, Los Angeles (UCLA), completing his studies from 2014 to 2019. He also holds a Master's degree in Aerospace, Aeronautical and Astronautical Engineering from UCLA, which he obtained in 2015. His undergraduate studies culminated in a Bachelor of Science (BS) in Mechanical Engineering from Florida State University, completed in 2014. His expertise includes integrating real-world data into computational fluid dynamics simulations and specialized knowledge in HVACR, plumbing, wastewater processing, and hydraulic equipment.
Background
Before his tenure at Exponent, Daniel Canuto gained valuable experience in various engineering roles. He worked as an Undergraduate Research Assistant at the National High Magnetic Field Laboratory from 2012 to 2013. Additionally, he served as a Graduate Teaching Assistant at UCLA from 2015 to 2018, where he supported the education of undergraduate students. His early experience includes a Manufacturing Engineering Internship at GE Aviation in 2012.
Achievements
Daniel Canuto has developed a specialization in systems for fluid transport, heat transfer, and manufacturing/construction. His academic and professional journey reflects a commitment to advancing knowledge in these areas, particularly through the integration of practical data into engineering simulations.