Summary
Alexander Pletzer is an experienced HPC Research Software Engineer with 11+ years helping scientists accelerate simulation and data workflows through algorithm design, parallelization, and cross-language tooling. He has a PhD in theoretical and plasma physics and a long track record—from accelerating ocean and atmospheric models to implementing conservative interpolation and sparse matrix assembly for climate and electromagnetic codes. Based in Wellington, New Zealand, he focuses on practical performance wins: speeding Python interpolation, leveraging OpenMP for finite-element seismic propagation, and extracting signal features such as identifying whale species from sonar. Comfortable moving legacy scientific software to modern architectures and cloud platforms, he also teaches colleagues to get code running faster via public training material. His blend of deep domain knowledge in applied mathematics and hands-on software engineering makes him effective at translating research needs into production-ready HPC solutions. An underappreciated strength is his breadth across research labs and industry—bridging academic rigor with pragmatic engineering across multiple scientific domains.
11 years of coding experience
15 years of employment as a software developer
Australian National University
Diploma, Physics, Diploma, Physics at Ecole polytechnique fédérale de Lausanne
French, German, English