Lucas Berg is a computational scientist and software engineer with 10 years of experience specializing in high-performance cardiac modeling, parallel programming (MPI, OpenMP, CUDA) and C++/Python development. He holds a PhD and MSc in Computational Modeling from Universidade Federal de Juiz de Fora and has combined academic rigor with translational research at the University of Oxford and as a CNPq Research Fellow developing patient-specific cardiac digital twins for arrhythmia risk stratification. His work blends GPU-accelerated solvers and uncertainty-aware anatomical modeling (notably novel methods for generating Purkinje networks) to connect imaging and ECG data to predictive simulations. Skilled in both low-level performance optimization and higher-level AI-driven pipelines, he bridges computational mechanics and clinical questions to improve decision-making for heart-failure patients. Based in Minas Gerais, Brazil, Lucas brings deep domain expertise and a track record of collaborative projects that span from code-level optimizations to multi-institutional clinical research.
10 years of coding experience
2 years of employment as a software developer
Master's degree Computational Modeling, Master's degree Computational Modeling at Universidade Federal de Juiz de Fora
Contributions:2 releases, 21 pushes, 2 tags in 2 years 4 months
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Lucas Berg - CNPq Knowledge Brazil Research Fellow Level 1