Current Team
Anya M. Reading
Professor of Geophysics | ARC Laureate Fellow
Anya’s research focuses on innovations in computational geophysics and geophysical data collection in remote and challenging environments, with a particular interest in Antarctica.
UTAS Profile Page | Google Scholar
Anya writes:
Welcome to our group webpages. Feel free to contact my via e-mail anya.reading@utas.edu.auon any topic, and you can follow on LinkedIn here https://www.linkedin.com/in/anya-reading-36959840/
Tobias Stål
Research Fellow in Computational Physics
Tobias combines geological and geophysical observations with statistical computer models to better understand Antarctica’s continental structure, particularly beneath its ice-covered interior. His research investigates interactions between the ice sheet and underlying geology, helping improve predictions of Antarctica’s response to global warming and rising sea levels.
UTAS Profile Page | Personal Website | Google Scholar | GitHub
Tobias writes:
Get in touch; I’d love to exchange ideas and learn from you.
Maria Constanza (Coti) Manassero
Antarctic Geoscientist | Research Associate
Coti’s interests include Antarctic field operations, expedition leadership and multidisciplinary research in remote environments. She specialises in coordinating field campaigns, supporting high-performing teams and collecting magnetotelluric data. Her work focuses on integrating geophysical, geological and environmental observations to better understand Antarctic Earth systems and support future research programmes.
Ian Kelly
Postdoctoral Researcher | Research Associate
Ian’s research focuses on using geophysical techniques, particularly passive seismology, to investigate subglacial environments and monitor changes in the Antarctic ice sheet. He is interested in improving estimates of future sea-level contributions through computational frameworks, including machine learning, and applying geophysical methods in remote, data-sparse environments.
Kim Bente
Postdoctoral Research Fellow in Computational Antarctic Geophysics
Kim develops probabilistic and physics-informed machine learning methods to investigate Antarctic subsurface processes and ice dynamics. Her research combines satellite data, geophysical observations and physical modelling to investigate subglacial topography, ice dynamics and basal melt. She also applies computer vision and Bayesian optimisation to characterise the ice–bedrock interface and improve field survey design.
Personal Website | Google Scholar | LinkedIn | GitHub
Kim writes:
Don’t stay under the radar, break the ice, and shoot me an email.
Jakob Gradl
PhD candidate
ML-assisted data assimilation focussing on the Antarctic ice sheet.