Summary
Sara Shonkwiler’s research focuses on improving manufactured part quality through data-driven methods. She is particularly interested in developing data-efficient machine learning approaches to accelerate additive manufacturing part-quality prediction and the design cyle for additive manufacturing. She enjoys spending her free time in the mountains.
Sara Shonkwiler joined the 夜色视频 in August 2026 as an assistant professor in the School of Mechanical, Aerospace, Industrial, and Materials Engineering. Prior to that, she was a postdoctoral researcher at the University of Arizona working with Professor Hannah Budinoff.
Sara earned her Ph.D. in mechanical engineering from the University of California, Berkeley, where she was an NSF graduate research fellow. She earned her B.S. in mechanical engineering from the University of Maryland, College Park.
Education
- Ph.D., Mechanical Engineering, University of California, Berkeley, 2025
- B.S., Mechanical Engineering, University of Maryland, College Park, 2018