News related to Math

Researchers develop a strategy for analyzing incomplete data sets
 

Missing data is a common and challenging problem in a broad range of scientific studies.  This is particularly true in the analyses of real-world data. For example, in the study of biological systems it is difficult to completely sample a population with a wide variety of traits (characteristics like body size, age and habitat).  It is impossible to sample everything, and missing data is almost inevitable.

Meet Laney Beausoleil, a Mathematical Science student who is finishing up her 4th year at the University of Guelph. As an involved student on campus, Laney worked as a Teaching Assistant in the Math and Stats Learning Centre and as a Residence Assistant in Prairie and Lennox-Addington.

Not alone, but... Math can do some cool things to help us. So many of us struggle with math and fail to see the beauty of patterns, and the power of big data. While the wicked problems of today cannot be solved by math alone, it plays a critical role in a multi-disciplinary approach to finding the solutions we need.

Daniel Kraus is an Assistant Professor of Mathematics in the department of Mathematics and Statistics.

When did you join the Department of Mathematics and Statistics at the University of Guelph?

Fall 2019 semester