Novel Spectroscopic Analysis for Breath-Based Diagnostics
The University is funded to develop a new type of spectroscopic tool that can deliver broadband and high-resolution spectra of complex molecular mixtures.
We are using this device to examine the exhaled breath so that we can potentially find evidence of undiagnosed disease based on the molecules that are present. The challenge of your project is to take these highly complex spectra, identify which molecules are present, and generate an estimate of the concentrations of each.
Unfortunately, under atmospheric conditions there are subtle interactions between the molecules that slightly change the characteristic spectral fingerprint of each molecule - this means simple nonlinear fitting or pattern matching algorithms do not work well.
Using a variety of machine learning and Bayesian inference algorithms, you will create better and faster ways to extract the important data from the observations.
Whether you're still at high school or planning to join us mid-year, taking a break from study or rethinking your career path, come chat with us at our STEM Careers Night.
You and your parents are invited to join us on campus on Tuesday 18 May to see what’s available in the world of STEM.