Christina Nelson
Backend software engineer and Physics PhD with 7+ years of experience building scalable, high-performance Python systems for large-scale scientific data processing. Expert in translating research algorithms into production-grade software, optimizing distributed pipelines, and designing robust data infrastructure for computationally intensive applications. Strong background in numerical methods, statistical modeling, and performance optimization in HPC environments. Proven results in building algorithmic solutions under tight performance constraints.
Interests:
Passionate about backend software engineering at the intersection of scientific computing and production systems. Taking complex scientific ideas and turning them into robust scalable systems that produce useful and meaningful products. Collaborative, curious, and driven by building meaningful systems with real-world impact.