Lucia Castellanos Pérez-Bolde


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  PhD Thesis

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Lucia Castellanos is an Applied Science and Engineering leader at Amazon. She believes in the power of data, science and engineering as a critical triad to solve many life and world problems. Lucia leads a multidisciplinary team that deals with big data and serves targeted recommendations. She holds two patents related to this work. A native from Mexico, Lucia holds a BSc in Applied Mathematics from the Instituto Tecnológico Autónomo de México, a MSc in Informatics from the University of Edinburgh in Scotland, and a PhD in Machine Learning from Carnegie Mellon University.

  Journal papers

  • Approximate Methods for State-Space Models. Shinsuke Koyama, Lucia Castellanos, Cosma R. Shalizi, and Robert E. Kass. Journal of the American Statistical Association, 105(489):170–180, March 2010. PDF
  • A multivariate gaussian process factor model for hand shape during reach-to-grasp movements. Lucia Castellanos, Vince Vu, Sagi Perel, Andrew B. Schwartz, and Robert E. Kass. Statistica Sinica 25(2015):5-24, January 2015. PDF Supplementary Material


  • Model Based Selection of Network Resources for which to Accelerate Delivery. Issued on: Jan 30, 2018.   (US 9,881,255 B1)
  • Optimizing application configurations in a provider network. Issued on: Dec 17, 2019.   (US 10,511,481 B1)