Quantum X Labs names Technion AI professor Oren Kurland to new scientific advisory board

Quantum X Labs named Technion professor Oren Kurland to chair its new Scientific Advisory Board on May 26. Kurland specializes in AI and data science and has published over 100 peer-reviewed papers.

Categorized in: AI News Science and Research
Published on: May 27, 2026
Quantum X Labs names Technion AI professor Oren Kurland to new scientific advisory board

Quantum X Labs Appoints Technion Professor to Scientific Advisory Board

Quantum X Labs, a Nasdaq-listed advanced technologies company, appointed Professor Oren Kurland to lead its new Scientific Advisory Board on May 26. Kurland holds an endowed chair at the Technion-Israel Institute of Technology and specializes in information retrieval, data science, and artificial intelligence.

The board will provide strategic scientific guidance and validate the company's technological direction, ensuring its work aligns with current advances in quantum science and engineering.

Kurland's Background

Kurland earned his Ph.D. in Computer Science from Cornell University and has been faculty at the Technion since 2006. He co-founded the institution's undergraduate and graduate Data Science degree programs and received the Technion's Yanai Prize for teaching excellence.

He has published more than 100 peer-reviewed papers and serves on the editorial board of the Journal of Artificial Intelligence Research. His research has been supported by Google (four times), Yahoo (four times), and IBM through faculty research awards. He has also consulted for startups in e-commerce and collaborated with Google, Amazon, Microsoft, Yahoo, and eBay.

Focus Areas

Quantum X Labs is developing quantum gyroscopes for GPS-denied navigation, next-generation atomic clocks, quantum error correction systems, and quantum-enhanced applications in biomedicine and cybersecurity. Kurland's appointment strengthens the company's scientific leadership as it expands this portfolio.

For professionals working in science and research, understanding how advisory boards shape technology strategy offers insight into how academic expertise guides industry development. AI for Science & Research explores how these methodologies apply across sectors.


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