Arash Banadaki is a Senior Advanced Analytics Software Engineer with 11 years of experience applying high-performance computing, numerical methods, and advanced finite element techniques to real-world problems. Based in Cary, NC and currently at SAS, he blends algorithm development, Monte Carlo simulation, and machine learning to tackle large-scale, multi-physics and graph-analytic challenges. His PhD from NC State and additional specialization in deep reinforcement learning reflect a strong research foundation paired with modern ML practice. He has deep domain expertise in fracture and damage mechanics and molecular dynamics, which informs robust, simulation-driven analytics rather than purely data-driven models. Known for turning complex numerical methods into production-ready cloud and HPC solutions, he brings both theoretical rigor and practical engineering to cross-disciplinary teams.
11 years of coding experience
PhD, PhD at North Carolina State University
Deep Reinforcement Learning, Deep Reinforcement Learning at Udacity
Bachelor of Science, Bachelor of Science at University of Tehran
Master of Science, Master of Science at Sharif University of Technology
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Arash Banadaki - Sr. Advanced Analytics Software Engineer at SAS