Avary Kolasinski is a postdoctoral researcher at Lawrence Livermore National Laboratory with eight years of experience in variational and anisotropic mesh generation for both volume and surface meshes, high-order methods, and their applications to PDEs and fluid dynamics. She earned a PhD in Computational and Applied Mathematics from the University of Kansas and has a strong track record bridging theory and implementation, including work on error estimates for ZFP compression in multigrid methods using C++ and Julia. Beyond meshing and numerical analysis, Avary explores deep reinforcement learning, neural networks, compression and mixed-precision algorithms, bringing a computationally-minded curiosity to cross-disciplinary problems. She has taught and coordinated large calculus courses, demonstrating clear communication of complex math to diverse audiences, and has applied mathematical modeling to industry problems like space-debris mitigation and financial data analysis.
8 years of coding experience
6 years of employment as a software developer
University of Kansas
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Oregon State University Honors College
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