Biography
Devina P. Sanjaya is a computational engineer, specializing in algorithmic development for computational fluid dynamics (CFD). In general, her research projects answer three core questions:
How can we obtain reliable predictive science and engineering in a fraction of the current cost?
How can we build or refine models of complex physical processes?
What information is needed to automate the computational workflow?
To answer these questions, she explores the intersection of engineering, applied mathematics, and computer science. Her research interests include the development of scalable and robust CFD methods, mesh adaptation and optimization, error estimation, advanced scientific computing, machine learning, and uncertainty quantification. The overarching goal of her research projects is to gain new insights into the design of the next-generation aerospace vehicles. She is also actively developing innovative pedagogy approaches and inclusive engineering curriculum. She teaches graduate-level and undergraduate-level courses in fluids and computational methods.
She was born in Jakarta, Indonesia and started her academic career in 2019, after completing her Ph.D. in aerospace engineering and scientific computing from the University of Michigan, Ann Arbor. She received her master's degree in aeronautics and astronautics from Stanford University (2014) and her bachelor's degree in aerospace engineering with a mathematics minor from the University of Michigan, Ann Arbor (2011). She was a visiting scientist in the Advanced Supercomputing Division at the NASA Ames Research Center in the summers of 2016, 2017, and 2019. She is a recipient of the MGB-SIAM Early Career (MSEC) Fellowship, the François-Xavier Bagnoud (FXB) Fellowship, the Zonta International Amelia Earhart Fellowship, and the Michigan Institute for Computational Discovery and Engineering (MICDE) Fellowship.
She enjoys golfing, playing piano and violin, photography, baking, cooking (and eating) food, and teaching tricks to her goldendoodle, Lexi.
