ARC Future Fellowships - Grant ID: FT200100928

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT200100928

Funding Status
Active

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Funded Activity Summary

Parameter estimation for genetic time-series data: Theory and methods. This project aims to develop a novel computational framework for solving parameter estimation problems in evolutionary modelling by leveraging genetic time-series data measured by Next-Generation Sequencing technologies. It will foster international collaboration, cutting across disciplines. By introducing new techniques from signal processing and tools from random matrix theory commonly employed for mobile wireless communications, it seeks to design scalable inference methods for resolving mutational fitness effects from genetic time-series measurements of complex evolving populations. This would enable new understanding of complex adaptive systems, such as pathogen evolution, host-immune dynamics, and acquisition of drug resistance.

Funded Activity Details

Start Date: 30-11-2021

End Date: 29-11-2025

Funding Scheme: ARC Future Fellowships

Funding Amount: $1,081,355.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Electrical and Electronic Engineering | Signal Processing | Wireless Communications |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Biological Sciences

Other Keywords

Electrical and Electronic Engineering | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Information and Computing Sciences | Signal Processing | Wireless Communications

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