Tara Boland is a Site Reliability Engineer and former postdoc with nine years of experience applying high-throughput computational methods to interfacial systems, 2D materials, and energy-relevant ceramics. She combines deep domain expertise in DFT and microscopy-informed modeling with practical skills in workflow automation, distributed databases, and web dissemination developed across academia and now industry. At DTU and ASU she bridged computational and experimental teams, embedding models into microscopy studies and solving real HPC bottlenecks for research groups. As a community builder, she founded and chaired a graduate materials science community that improved communication between faculty, students, and HPC staff and launched a computational users group. Now at Novonesis she brings that research-grade rigor to reliability engineering, focusing on scalable, reproducible pipelines for materials data. Outside work she channels hands-on problem solving into motorcycle projects, backcountry adventures, and teaching acro-yoga, reflecting a practical, collaborative approach to technical challenges.
9 years of coding experience
12 years of employment as a software developer
Physics, Materials Science; Computational Physics, Physics, Materials Science; Computational Physics at University of North Dakota
PhD, Materials Science, PhD, Materials Science at Ira A. Fulton Schools of Engineering at Arizona State University
Automate the discovery of stable 2D materials stacked on substrates (either another 2d or substrate surface)! Compute the properties of the interacting system!
Contributions:1 release, 62 commits, 2 PRs in 8 months
Contributions:12 pushes, 1 branch in 2 years 2 months
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