Summary
Valentin Stauber is a Quantum Algorithm Developer and PhD physicist based in Vienna with 11 years of experience at the intersection of theoretical quantum many-body simulation and applied machine learning. He has built state-of-the-art simulation algorithms that outperform prior techniques by an order of magnitude and now applies that numerical and optimization expertise to compilers and OS-level tooling for near-term quantum hardware using Python and Rust. Valentin led MLOps and frontline NLP R&D at Iris.ai, shipping production ML systems for scientific text (including hierarchical topic models, table extraction, and summarization) and contributed to a Top‑10 finish in the IBM Watson AI XPRIZE. He is comfortable across research, high-performance C++/Matlab prototypes and production SaaS stacks (Django, Docker, Ansible, AWS), and often blends classical optimization and reinforcement learning to accelerate quantum software. A strong advocate for open science, he has a track record of translating deep academic results into impactful products and revenue, and was one of three Austrians accepted to CERN’s competitive summer program. Notably, his background in tensor-network methods and numerical linear algebra gives him a rare ability to optimize both algorithms and systems for performance-critical quantum workloads.
11 years of coding experience