CV

Education

• MPhys. in Physics, The University of Manchester, 2011
• MRes in Electrical Engineering, University of Cambridge, 2012
• Ph.D in Materials Science, University of Cambridge, 2016

Experience

• 2018-Current: Chick Keller Postdoctoral Fellow at Los Alamos National Laboratory
  • Space Data Science and Systems Group (ISR-3)
  • Research in remote sensing, geophysics and machine learning
• 2017-2018: Data Scientist at Owlstone Medical Ltd.
  • Developping machine learning and software tools to analyse breath-based biomarkers
• 2016-2017: EPSRC Postdoctoral Award Fellow
  • Research in nanophotonics and semiconductor physics

Recent Publications

Machine learning reveals the seismic signature of eruptive behavior at piton de la fournaise volcano

Ren, C.X., Peltier, A., Ferrazzini, V., Rouet‐Leduc, B., Johnson, P.A. and Brenguier, F., 2020. Machine learning reveals the seismic signature of eruptive behavior at piton de la fournaise volcano. Geophysical Research Letters, 47(3), p.e2019GL085523.

On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict

Ren, C.X., Calef, M.T., Durieux, A.M., Ziemann, A. and Theiler, J., 2020, March. On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict. In 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) (pp. 86-89). IEEE.

Deep snow: synthesizing remote sensing imagery with generative adversarial nets

Ren, C.X., Ziemann, A., Theiler, J. and Durieux, A.M., 2020, May. Deep snow: synthesizing remote sensing imagery with generative adversarial nets. In Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI (Vol. 11392, p. 113920T). International Society for Optics and Photonics.