Guest Lecture in Statistics, “Statistical Modelling of Data in the Presence of Latent Variable with Applications to Energy Consumption Data and Cancer Genomics”

Academic Events
Trinity Western University
Room 37, Neufeld Science Centre
7600 Glover Road
Langley, BC V2Y 1Y1
Canada

SPEAKER: Camila P. E. de Souza,
Postdoctoral Research Fellow,
Shah Lab for Computational Cancer Biology,
BC Cancer Agency Research Centre
http://shahlab.ca/team/Camila-DeSouza

Camila de Souza is a statistician, having completed her PhD in Statistics at the University of British Columbia under the supervision of Nancy Heckman. She is originally from southeast Brazil where she received her Master’s and Bachelor’s Degrees in Statistics at the University of Campinas. Her main research areas of interest include method development and analysis of genomic data, nonparametric regression, functional data analysis, density estimation, machine learning, latent variable modelling and applications to energy consumption data.

ABSTRACT:
In this talk research work on statistical analysis and method development when crucial information is absent from the data will be presented. She will describe her work on the analysis of two different energy consumption data sets in the presence of hidden variables, such as true consumer type or status of cooling devices. Then she will present her work on cancer genomics to infer different cell populations in a tumour using high-throughput DNA sequencing data when important features of the genome are hidden.

For more information contact Arnold Sikkema