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
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Graduated with Distinction, Doctor of Philosophy (Ph.D.), Physics, Graduated with Distinction at University of Vienna
Master’s Degree, Technical Physics, Graduated with Distinction, Master’s Degree, Technical Physics, Graduated with Distinction at Technische Universität Graz
German, English, Japanese, French