Monday 18 November 2019 11:13am
Date: Thursday 21 November 2019
Time: 1:00pm to 2:00pm
Venue: Room 208 Microbiology
In conjunction with NANIX
Cell populations are complex
We now routinely include 10+ markers in flow cytometry analyses and with newer platforms such as the Aurora and CyToF easily reaching 20+. This allows us to study cell populations in their true complexity.
However, the extent at which we can analyse this data manually is fairly limited, and extremely time consuming. In order to get the most out of our data we have to use machine learning approaches. This not only ensures identification of all relevant results, but also vastly reduces the time required to analyse a dataset.
Sam Norton is the Founder of Nanix, a data analysis consultancy for multi-parameter cytometry data.
Sam has a strong background in both immunology and high dimensional data analysis. He completed his honours and PhD studying
macrophage populations in human colorectal cancer predominantly using 10+colour flow cytometry.
During his 2-3 years as a post-doctoral fellow he focussed almost exclusively on using and developing machine learning platforms for analysing mass cytometry data generated from clinical immunological datasets with 30+ parameters.