Anandaroop Ray
Welcome! I am a statistically minded geophysicist who uses modern optimization algorithms and Bayes' Theorem to make inferences about earth structure.
Most of my work has been with electromagnetic or seismic data, and for the past few years I have extensively been using the numerically focussed and open source Julia language.
Here's a link to the 100% Julia based HiQGA project in which I have used research from almost all the papers underneath.
Employment
2019 – present Geoscience Australia (Australia)
2012 – 2019 Chevron Geophysics R&D (USA)
2007 – 2010 Shell Exploration and Production (The Netherlands, and India)
Education
2010 – 2014 University of California, San Diego, PhD, Earth Sciences/Geophysics
2004 – 2007 Indian Institute of Technology, Roorkee, M. Tech, Applied Geophysics
2001 – 2004 University of Delhi, St. Stephen's College, B. Sc (Honours), Physics
Publications (Google Scholar) and ORCID
Ray, A., Ley-Cooper, Y., Brodie, R. C., Taylor, R., Symington, N., Moghaddam, N., 2023, An information theoretic Bayesian uncertainty analysis of AEM systems over Menindee Lakes, Australia. Geophysical Journal International, Volume 235(2), 1888-1911.
Jiang, W., Brodie, R.C., Duan, J., Roach, I., Symington, N., Ray, A., Goodwin, J., 2023, Probabilistic inversion of audio-frequency magnetotelluric data and application to cover thickness estimation for mineral exploration in Australia. Journal of Applied Geophysics, 208, p.104869.
Blatter, D., Key, K., Naif, S., Ray, A., 2022, A plume origin for hydrous melt at the lithosphere-asthenosphere boundary. Nature, Volume 604, 491–494
Ray, A., 2021, Bayesian inversion using nested trans-dimensional Gaussian processes. Geophysical Journal International, Volume 226, 302-326
Blatter, D., Ray, A. and Key, K., 2021, Two-dimensional Bayesian inversion of magnetotelluric data using trans-dimensional Gaussian processes. Geophysical Journal International.
Blatter, D., Key, K., Ray, A., Gustafson, C., Evans, R., 2019, Bayesian Joint Inversion of Controlled Source Electromagnetic and Magnetotelluric Data to Image Freshwater Aquifer Offshore New Jersey. Geophysical Journal International, Volume 218, 1822-1837
Ray, A., & Myer, D., 2019, Bayesian geophysical inversion with trans-dimensional Gaussian Process machine learning. Geophysical Journal International, Volume 217, 1706-1726
Blatter, D., Key, K., Ray, A., Foley, N., Tulaczyk, S., Auken, E., 2018, Trans-Dimensional Bayesian Inversion of Airborne Transient EM Data From Taylor Glacier, Antarctica. Geophysical Journal International, Volume 214, 1919–1936
Ray, A., Kaplan, S., Washbourne, J., Albertin, U., 2017, Low frequency full waveform seismic inversion within a tree based Bayesian framework. Geophysical Journal International, Volume 212, 522–542
Ray, A., Sekar, A., Hoversten,G. M., Albertin, U., 2016, Frequency domain full waveform elastic inversion of marine seismic data from the Alba field using a Bayesian trans-dimensional algorithm. Geophysical Journal International, Volume 205, pp. 915–937
Ray, A., Key, K., Bodin, T., Myer, D. & Constable, S., 2014, Bayesian inversion of marine CSEM data from the Scarborough gas field using a transdimensional 2-D parametrization. Geophysical Journal International, Volume 199, 1847–1860
Ray, A., Alumbaugh, D. L., Hoversten, G. M. and Key, K., 2013, Robust and accelerated Bayesian inversion of marine CSEM data using parallel tempering. Geophysics, Volume 78, No. 6, E271–E280
Ray, A. & Key, K., 2012, Bayesian inversion of marine CSEM data with a trans-dimensional self parameterizing algorithm. Geophysical Journal International, Volume 191, Issue 3, pp. 1135–1151
Cullen, A., Reemst, P., Henstra, G., Gozzard, S., Ray, A., 2010, Rifting of the South China Sea: new perspectives. Petroleum Geoscience, Volume 16, pp. 273-282
Ray, A. & Srivastava, D. C., 2008, Non-linear least squares ellipse fitting using the genetic algorithm with applications to strain analysis. Journal of Structural Geology, Volume 30, Issue 12, pp. 1593-1602
