Computational Statistics with Applications in Genetics/Life Sciences

With the advances in technology and modern computing power, there is a vast increase in data collection and storage in a variety of fields, especially in the fields of medicine and genetics. For example, DNA micro-arrays in genetics now allow scientists to analyze the expression and interaction of millions of genes simultaneously. This massive increase in data collection, which is often referred as the “Big Data Era” in the sciences, has increased the demand for statisticians with an expertise in analyzing large amounts of data through advanced statistical algorithms to identify patterns, trends, and associations in large data sets. For example, identifying interactions between genes in DNA micro-arrays with millions of genes. TO BE CONT’D

Faculty Supervisor:

Ruben Zamar

Student:

Partner:

Katholieke Universiteit Leuven

Discipline:

Mathematics

Sector:

Education

University:

The University of British Columbia

Program: