Ronita Roy

Ronita Roy

R&D Thermal Analyst @ Sandia National Labs

About Ronita Roy

Ronita Roy is an R&D Thermal Analyst at Sandia National Laboratories with a background in mechanical and biomedical engineering.

Title

Ronita Roy serves as an R&D Thermal Analyst at Sandia National Laboratories. In this role since 2021, she employs her expertise in thermal modeling and simulation to contribute to various advanced projects.

Company

Ronita Roy is currently employed at Sandia National Laboratories, a renowned research and development institution. At Sandia, she has developed thermal models using an in-house modeling and simulation suite and assisted with thermal testing in a thermal vacuum chamber lab.

Previous Roles

Prior to her current role, Ronita worked at Sandia National Laboratories as an R&D Mechanical Engineer from 2019 to 2021. She also held a Mechanical Engineer position at Verus® Research from 2017 to 2019 and initially joined the company as a Mechanical Engineering Intern. Additionally, Ronita has experience as an Entrepreneurial Lead for the National Science Foundation in Chicago, IL, a Teaching Assistant and Graduate Student Researcher at Texas A&M University, and a Research Technician at Baylor College of Medicine.

Education and Expertise

Ronita Roy holds a Master of Science (M.S.) degree in Mechanical Engineering from Texas A&M University, earned from 2014 to 2017. She also achieved a Bachelor of Science (BS) in Biomedical Engineering from Texas A&M University, where she studied from 2009 to 2013. Her extensive background in engineering is augmented by practical experience in both mechanical and thermal research fields.

Research and Development Contributions

Throughout her career, Ronita Roy has significantly contributed to research and development projects. At Sandia National Laboratories, she has utilized verification, validation, and uncertainty (VVUQ) techniques to analyze and present results to stakeholders, ensuring the accuracy and reliability of her findings. Her work in thermal analysis and modeling has been crucial in advancing various research initiatives.

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