Thibault Pierre

Thibault Pierre is a Full Professor at the Department of Physics, University of Trieste, specializing in Physics for Life Sciences, Environment, and Cultural Heritage. He serves as a member of the Department's Board and Boards of Studies for Physics programs SM20 and SM23. His academic work is centered within the Optimal Imaging and Tomography research group under the Interdisciplinary and Applied Physics and Technology strand.

Professor Pierre's research interests span Physics for Life Sciences, Environmental Physics, Cultural Heritage Physics, Imaging Techniques, Tomography, and X-ray Physics. His work bridges fundamental physics with practical applications in biological systems, environmental studies, and cultural heritage preservation. His expertise lies particularly in developing and applying advanced imaging methodologies to solve complex problems across these disciplines.

His recent publication record demonstrates a strong focus on cutting-edge X-ray imaging techniques, particularly speckle-based methods, tensor tomography, and phase-contrast imaging. These techniques are applied across diverse domains including biomedical research (human placenta, cerebellum imaging), cultural heritage (archaeological skeletal remains analysis), and materials science (composite materials, carbon fiber characterization). His work shows a consistent trajectory toward higher resolution, faster acquisition, and more comprehensive multi-modal imaging capabilities.

Professor Pierre is actively involved in the 'Beyond Bones: Applying Innovative Scientific Approaches to Paleontology and Archaeology to Reveal the Secrets of Dietary Habits' research project as a Scientific Actor. This project exemplifies his interdisciplinary approach, applying physics-based imaging techniques to archaeological questions.

He is a key member of the Optimal Imaging and Tomography research group, which appears to be associated with the newly established OPTIMATO (OPTimal IMAging and TOmography) laboratory mentioned in his 2024 publication. His work with the Unified Modulated Pattern Analysis (UMPA) model suggests leadership in developing computational frameworks for advanced imaging data analysis.