Staff profile

Education

2006-2010	DPhil Earth Sciences, University of Oxford. Supervisor: Prof. J.H. Woodhouse
2002-2006	BA/MSci Natural Sciences (Physics), University of Cambridge.

Academic Employment

2021-present	Assistant Professor, Department of Earth Sciences, Durham University
2016-2021	Fellow, Research School of Earth Sciences, The Australian National University
2011-2016	Postdoctoral Researcher, Department of Earth Sciences, Universiteit Utrecht

Other Significant Roles and Responsibilities

• Editor, Geophysical Journal International (2020-present)
• CIG Seismology Working Group committee member (2020-present)
• Honorary Senior Lecturer, The Australian National University (2021-present)

• Geophysical inverse theory
• Machine learning and its applications in the Earth Sciences
• Global seismology

• Personal Website

Chapter in book

• Valentine, Andrew P. & Sambridge, Malcolm (2023). Emerging Directions in Geophysical Inversion. In Applications of Data Assimilation and Inverse Problems in the Earth Sciences. Ismail-Zadeh, Alik, Castelli, Fabio, Jones, Dylan & Sanchez, Sabrina Cambridge: Cambridge University Press. 9-26.
• Davies, D. Rhodri, Ghelichkhan, Siavash, Hoggard, Mark, Valentine, Andrew P. & Richards, Fred D. (2023). Observations and models of dynamic topography: Current status and future directions. In Dynamics of plate tectonics and mantle convection. Duarte, J. C. Elsevier. 223-270.

Journal Article

• Sambridge, Malcolm, Jackson, Andrew & Valentine, Andrew P (2023). Reply to comment on Geophysical inversion and Optimal Transport, 231, 172–198, by Okazaki & Ueda. Geophysical Journal International 233(2): 1488-1491.
• Valentine, Andrew P. & Sambridge, Malcolm (2022). pyprop8: A lightweight code to simulate seismic observables in a layered half-space. Journal of Open Source Software 7(76): 4217.
• Sambridge, Malcolm, Jackson, Andrew & Valentine, Andrew P. (2022). Geophysical inversion and optimal transport. Geophysical Journal International 231(1): 172-198.
• Scheiter, Matthias, Valentine, Andrew & Sambridge, Malcolm (2022). Upscaling and downscaling Monte Carlo ensembles with generative models. Geophysical Journal International 230(2): 916-931.
• Le Losq, Charles, Valentine, Andrew, Mysen, Bjorn O. & Neuville, Daniel R. (2021). Structure and properties of alkali aluminosilicate glasses and melts: insights from deep learning. Geochimica et Cosmochimica Acta 314: 27-54.
• Rijal, Ashim, Cobden, Laura, Trampert, Jeannot, Jackson, Jennifer M. & Valentine, Andrew (2021). Inferring material properties of the lower mantle minerals using Mixture Density Networks. Physics of the Earth and Planetary Interiors 319: 106784.
• Valentine, A.P. & Sambridge, M. (2020). Gaussian process models—II. Lessons for discrete inversion. Geophysical Journal International 220: 1648-1656.
• Valentine, A.P. & Davies, D.R. (2020). Global models from sparse data: A robust estimate of Earth's residual topography spectrum. Geochemistry, Geophysics, Geosystems
• Valentine, A.P. & Sambridge, M. (2020). Gaussian process models—I. A framework for probabilistic continuous inverse theory. Geophysical Journal International 220: 1632-1647.
• Davies, D.R., Valentine, A.P., Kramer, S.C., Rawlinson, N., Hoggard, M.J., Eakin, C. & Wilson, C.R. (2019). Earth's multi-scale topographic response to global mantle flow. Nature Geoscience 12: 845-850.
• Enemark, T., Peeters, L.J.M., Mallants, D., Batelaan, O., Valentine, A.P. & Sambridge, M. (2019). Hydrogeological Bayesian hypothesis testing through trans-dimensional sampling of a stochastic water balance model. Water 11: 1463.
• Akbarashrafi, F., Al-Attar, D., Deuss, A., Trampert, J. & Valentine, A.P. (2018). Exact free oscillation spectra, splitting functions and the resolvability of Earth's density structure. Geophysical Journal International 213: 58-76.
• Al-Attar, D., Crawford, O., Valentine, A.P. & Trampert, J. (2018). Hamilton's principle and normal mode coupling in an aspherical planet with a fluid core. Geophysical Journal International 214: 485-507.
• Valentine, A.P. & Sambridge, M. (2018). Optimal regularisation for a class of linear inverse problem. Geophysical Journal International 215: 1003-1021.
• Käufl, P., Valentine, A.P. & Trampert, J. (2016). Probabilistic point source inversion of strong-motion data in 3-D media using pattern recognition: A case study for the 2008 Mw5.4 Chino Hills earthquake. Geophysical Research Letters 43: 8492-8498.
• Käufl, P., Valentine, A.P., de Wit, R.W.L. & Trampert, J. (2016). Solving probabilistic inverse problems rapidly with prior samples. Geophysical Journal International 205: 1710-1728.
• Atkins, S., Valentine, A.P., Tackley, P.J. & Trampert, J. (2016). Using pattern recognition to infer parameters governing mantle convection. Physics of the Earth and Planetary Interiors 257: 171-186.
• Valentine, A.P. & Kalnins, L.M. (2016). An introduction to learning algorithms and potential applications in geomorphometry and earth surface dynamics. Earth Surface Dynamics 4: 445-460.
• Valentine, A. & Trampert, J. (2016). The impact of approximations and arbitrary choices on geophysical images. Geophysical Journal International 204: 59-73.
• Käufl, P., Valentine, A.P., de Wit, R.W.L. & Trampert, J. (2015). Robust and fast probabilistic source parameter estimation from near-field displacement waveforms using pattern recognition. Bulletin of the Seismological Society of America 105: 2299-2312.
• de Wit, R.W.L., Käufl, P., Valentine, A.P. & Trampert, J. (2014). Bayesian inversion of free oscillations for Earth's radial (an)elastic structure. Physics of the Earth and Planetary Interiors 237: 1-17.
• Käufl, P., Valentine, A.P., O'Toole, T.B. & Trampert, J. (2014). A framework for fast probabilistic centroid-moment-tensor determination -- Inversion of regional static displacement measurements. Geophysical Journal International 196: 1676-1693.
• Valentine, A.P., Kalnins, L.M. & Trampert, J. (2013). Discovery and analysis of topographic features using learning algorithms: A seamount case-study. Geophysical Research Letters 40: 3048-3054.
• de Wit, R.W.L., Valentine, A.P. & Trampert, J. (2013). Bayesian inference of Earth's radial seismic structure from body wave travel times using neural networks. Geophysical Journal International
• O'Toole, T.B., Valentine, A.P. & Woodhouse, J.H. (2013). Earthquake source parameters from GPS-measured static displacements with potential for real‐time application. Geophysical Research Letters 40: 60-65.
• Valentine, A.P. & Trampert, J. (2012). Assessing the uncertainties on seismic source parameters: Towards realistic error estimates for centroid-moment-tensor determinations. Physics of the Earth and Planetary Interiors 210-211: 36-49.
• Valentine, A.P. & Trampert, J. (2012). Data space reduction, quality assessment and searching of seismograms: autoencoder networks for waveform data. Geophysical Journal International 189: 1183-1202.
• O'Toole, T.B., Valentine, A.P. & Woodhouse, J.H. (2012). Centroid-Moment Tensor Inversions Using High-Rate GPS Waveforms. Geophysical Journal International 191: 257-270.
• A.P. Valentine & J.H. Woodhouse (2010). Reducing errors in seismic tomography: combined inversion for sources and structure. Geophysical Journal International 180: 847-857.
• Valentine, A.P. & Woodhouse, J.H. (2010). Approaches to automated data selection for global seismic tomography. Geophysical Journal International 182: 1001-1012.