Prof. Dr. Andrey Ustyuzhanin

With over two decades of research experience and an h-index above 130, he focuses on applying artificial intelligence to accelerate scientific discovery across domains such as particle physics, materials science, and cybersecurity. His work spans the development of generative models, interpretable machine learning techniques, and large-scale simulation methods aimed at deepening our understanding of the universe and consciousness. He has a particular interest in advancing AI for materials science, with applications in catalysis, quantum materials, and novel computational devices such as memristors. He leads the SHiP experiment team representing Constructor University Bremen, where he is driving the development of AI-powered co-design techniques for next-generation subdetectors. He has also contributed to innovative detector algorithms, co-developed Coursera courses, and organized international summer schools on machine learning for science. His contributions were recognized with the 2025 Breakthrough Prize in Fundamental Physics.