About

Chrysovalantis Constantinou is an interdisciplinary nuclear physicist working in ab initio nuclear theory, machine learning, and scientific software development. His research spans computational quantum many-body methods for nuclear structure, machine learning predictions of nuclear potential energy surfaces, medical imaging AI, and applied machine learning in osteoarchaeology and forensic anthropology.

He has held research appointments at The Cyprus Institute and Yale University, and has been a visiting researcher at Université Libre de Bruxelles. He earned a PhD in Physics from the University of Notre Dame. He has contributed to projects spanning fundamental physics, applied machine learning, and open-science infrastructure.

His most recent publication, “Classifying Legal Age of Majority (≥18 years) from Panoramic Radiographs with Transfer Learning,” appears in the Journal of Forensic and Legal Medicine (2026).

Research interests:

• Ab initio nuclear theory
• Nuclear structure
• Computational quantum many-body methods
• Algebraic and group-theoretical approaches
• Machine learning for nuclear potential energy surfaces
• Machine learning in osteoarchaeology and forensic anthropology
• Medical imaging AI
• Scientific software and data-driven modeling
• High-performance computing