Claudia Rangel Escareño, Ph.D


Claudia Rangel

Ph.D. in Mathematics Claremont Graduate University
Dissertation: Modeling Biological Responses Using Gene Expression Profiling and Linear Dynamical Statistical Models
Committee:
John E. Angus, Professor Institute of Mathematical Sciences Claremont Garduate University, CA USA
David L. Wild,  Professor,Warwick Systems Biology Centre, University of Warwick, U.K.
Simon Tavaré, Director of the Cancer Research UK Cambridge Institute (CRUK CI)

M.S. in Mathematics  Claremont Graduate University
B.S. in Mathematics  Universidad Autónoma Metropolitana – Campus Iztapalapa Mexico, D.F.
SNI Level  II

Research Interests

My research interests are in the fields of statistics and probability, with particular emphasis on stochastic computation, Bayesian methods, statistical inference in molecular biology, population genetics, bioinformatics, cancer genomics and computational systems biology. I have been particularly interested in reverse engineering methods that aim at reaching a well- defined representation of the cellular network topology from the transcriptional interactions revealed by, for example, gene expression measurements.

Publications

Teaching

  • CGU-Math 365 Computational Methods for Molecular Biology
  • CGU-Math 452 Large Scale Inference