Summary
Bendik Dalen is a PhD fellow at the OsloMet Quantum Hub specializing in computational physics and scientific computing, focused on developing numerical and mathematical techniques for quantum time evolution of matrices. With a master's in Computational Science: Physics from the University of Oslo and eight years of programming and research experience, he combines high-performance computing, algorithm development, and machine learning (Python, C/C++, Julia, TensorFlow/PyTorch) to tackle simulation and data-analysis challenges. He has applied semi-supervised ML to cardiac MRI at Simula Research Laboratory and taught applied data analysis and machine learning as a TA, demonstrating both practical and pedagogical strengths. Bendik’s work sits at the intersection of quantum mechanics and statistical learning, and he’s particularly interested in leveraging neural models to accelerate numerical modelling—bringing an uncommon blend of deep mathematical training and hands-on ML-driven simulation experience.
9 years of coding experience
University of Oslo