PhD progress talk

Event status:

You are invited to attend the following PhD progress talk.

Friday 12 March 2021 09:00 am until Friday 12 March 2021 10:00 am (Add to calendar)
Andriy Olenko
Presented by:
Jason Grealey
Type of Event:

Title: Quantifying computational carbon footprints and deep learning in genomic prediction


This presentation details the three main projects undertaken within my PhD. The first involves investigating the carbon footprint of computation. As climate change is an extremely pressing global issue, researchers must be prudent with energy usage, this includes computational research. In this first project we developed a freely available and simple to use carbon footprint estimator of computational tools called Green Algorithms, it provides interpretable metrics to understand any given carbon footprint. The next section I will talk about involves the estimation of the carbon footprints of various bioinformatic analyses using published benchmarks. These carbon footprints are largely unknown and underappreciated within the research community, we also provide a list of realistic and practical recommendations that computational researchers can utilise in order to minimise their carbon footprint. The last section is a simulation study aiming to understand what types of genetic architectures and study designs are needed to utilise neural networks in place of traditional linear polygenic scoring methods in genomic prediction.




16th Oct 2021 1:43pm

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