Biography

Devina P. Sanjaya is a computational engineer, specializing in algorithmic development for computational fluid dynamics (CFD). Her research endeavor integrates recent advances from engineering, applied mathematics, and computer science to develop new foundational knowledge and computational mathematics and algorithms for CFD. At its core, her research aims to:

1. Improve the reliability (i.e., accuracy and robustness) of the state-of-the-art CFD practices and technology in a fraction of the current cost and memory footprint;

2. Build or refine CFD models of complex fluid phenomena in natural and engineered systems;

3. Improve the automation, adaptivity, and efficiency of CFD workflow;

4. Harness the maximum power of high-performance computing (HPC).

Her academic goals are to transform aerodynamics  design and optimization research, provide new modeling and simulation capabilities for studying and understanding the fundamentals of fluid dynamics, and provide academics with new insights into the design of the next-generation aerospace vehicles. 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.  Her research supports two of the five major pillars of the general Aerospace Engineering field as defined by the American Institute of Aeronautics and Astronautics (AIAA), namely Fluid Dynamics and Computing. In addition to research, she is actively developing innovative pedagogy approaches and inclusive engineering curriculum. She teaches graduate-level and undergraduate-level courses in fluids and computational methods. She is also an advocate for diversity, equity, and inclusion (DEI) in science, technology, engineering, and mathematics (STEM).

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.