August Weinbren is a research software engineer based in London with a decade of experience building high-performance ML and physics-driven modeling systems for bioscience and scientific computing. He combines low-level C++ and CUDA engineering—having implemented a direct sparse linear solver and accelerated LLM inference with TensorRT—with reproducible HPC deployments via Docker/Apptainer and cross-platform CMake toolchains. His work spans domains from radiotherapy planning and medical image registration to finite-element tissue-growth models and weather-observation QC, reflecting a rare blend of numerical methods, ML performance tuning, and production orchestration. An experienced educator and lab manager, he’s been recognized for outstanding teaching feedback and mentors emerging engineers while driving operational improvements in makerspaces. Notably, he bridges research and production: replacing proprietary dependencies with open implementations and enabling ARM Mac and Linux HPC compatibility to broaden access to advanced simulation tools.
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August Weinbren - Research Software Engineer at Avian.io