Elis Newham, Queen Mary University of London
Elis is an evolutionary biologist and bioengineer currently at the School of Engineering and Materials Science at Queen Mary University of London. He applies non-destructive X-radiation techniques to study histological features of tissues in living and fossil animals, most notably mammals, for resea...
Elis is an evolutionary biologist and bioengineer currently at the School of Engineering and Materials Science at Queen Mary University of London. He applies non-destructive X-radiation techniques to study histological features of tissues in living and fossil animals, most notably mammals, for researching macroevolutionary patterns in physiology and biomechanics. Elis has spent over a decade pioneering advanced methods for X-ray tomographic imaging of histological fabrics in hard and soft tissues, to research questions ranging from the evolution of major animal groups to their biomechanics, development and ageing. Most recently, he has identified the earliest origins of the mammalian endothermic (warm-blooded) metabolism as part of his Alexander von Humboldt Research Fellowship (University of Bonn), and established the multimodal TomoSAXS X-ray analysis technique for cross-calibrating tomographic and small angle X-ray scattering data in collagenous tissues. Elis’s work is revealing unprecedented data of animal life history and evolution through applying non-destructive X-ray analysis, offering tangible impacts for sciences ranging from evolutionary biology to developmental biology and biomedical science.

Hector Dejea I Velardo, European Synchrotron Radiation Facility
Dr. Hector Dejea I Velardo is a biomedical engineer passionate about the application of synchrotron-based techniques in biomedicine. He completed his PhD at ETH Zurich and the Paul Scherrer Institut (Switzerland), where he focused on multiscale analysis of cardiovascular architecture and disease usi...
Dr. Hector Dejea I Velardo is a biomedical engineer passionate about the application of synchrotron-based techniques in biomedicine. He completed his PhD at ETH Zurich and the Paul Scherrer Institut (Switzerland), where he focused on multiscale analysis of cardiovascular architecture and disease using the TOMCAT beamline at the Swiss Light Source. During his postdoctoral work at Lund University and the MAX IV synchrotron, he extended his research to include in-situ mechanical characterization of musculoskeletal tissues. He is currently a beamline scientist at the BM18 beamline of the ESRF, contributing to the Human Organ Atlas Hub and the development of Hierarchical Phase-Contrast Tomography (HiP-CT).

Kanchana Kularatne, Université de Pau et des pays de l'Adour
Kanchana Kularatne is a postdoctoral researcher in geochemistry at the Laboratoire des Fluides Complexes et leurs Réservoirs, Université de Pau et des Pays de l’Adour, France. She holds a Bachelor’s degree in Geology from the University of Peradeniya, Sri Lanka (2010), a Master’s in Experime...
Kanchana Kularatne is a postdoctoral researcher in geochemistry at the Laboratoire des Fluides Complexes et leurs Réservoirs, Université de Pau et des Pays de l’Adour, France. She holds a Bachelor’s degree in Geology from the University of Peradeniya, Sri Lanka (2010), a Master’s in Experimental Geosciences from the Bavarian Geoinstitute (BGI), University of Bayreuth, Germany (2013), and a PhD in Geochemistry from IFP Energies Nouvelles (IFPEN), France (2018). Her research focuses on fluid–rock interactions, with particular interest in carbon storage in alkaline industrial wastes, enhanced silicate weathering and natural hydrogen systems. She explores the kinetics and thermodynamics of geochemical reactions, and the processes that occur at mineral–fluid interfaces. In addition, she develops and applies X-ray computed tomographic techniques to visualize and quantify these interactions in situ. Through interdisciplinary collaboration and experimental investigation, her work contributes to a deeper understanding of Earth’s reactive systems, with implications for climate solutions, energy transition, and the global carbon and hydrogen cycles.

Stephen Parsons, Vesuvius Challenge
Dr. Stephen Parsons completed his PhD in computer science in 2023, using machine learning to detect the elusive carbon ink on the Herculaneum scrolls from CT scans. These methods are now being extended successfully by a worldwide team and community through Vesuvius Challenge, a global research conte...
Dr. Stephen Parsons completed his PhD in computer science in 2023, using machine learning to detect the elusive carbon ink on the Herculaneum scrolls from CT scans. These methods are now being extended successfully by a worldwide team and community through Vesuvius Challenge, a global research contest for which Stephen is the Project Lead.

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