Summary
Pablo Alzás is a PhD physicist and seasoned research software engineer with nine years of experience building real-time algorithms and large-scale simulation pipelines for neutrino experiments at CERN. He has shipped production C++ to event generators and developed a supernova burst trigger for DUNE, influencing detector configuration decisions while prototyping ML-driven alternatives including GNNs and BDTs. Comfortable across Python, JAX and C++, he focuses on reliable, well-tested code and end-to-end evaluation pipelines that bridge simulation, profiling and hardware-aware deployment. His work blends statistical modeling with differentiable simulation and practical systematics characterization, reflecting a rare mix of deep physics intuition and production-quality software engineering. Based in Geneva, he routinely collaborates across hardware and software teams to turn complex research requirements into auditable, deployable tools.
9 years of coding experience
Ph.D., Physics, Ph.D., Physics at Universidad Autónoma de Madrid
B.Sc., Physics, B.Sc., Physics at Universidad de Córdoba
Spanish, English, French