Masoud Shirali

Dr

Accepting PhD Students

PhD projects

Projects in genomics, and other omics(epigenomics, transcriptomics and metabolomics) studies and utilizing data science approaches in animal breeding are available.

20152024

Research activity per year

Personal profile

Research Focus

My research is focused on developing cutting edge statistical and omics based methods to unravel the genetic background of complex traits and diseases.

Areas of research focus include; 

  1. Understanding the biological basis of complex traits and diseases in human and animals.
  2. Develop cutting edge models by utilizing machine learning in multi-omics data such as genomics, transcriptomics and metabolomics data to predict difficult-to-measure phenotypes.

I have a strong background in developing and applying genome-wide association study (GWAS) and post GWAS methods such as gene mapping, pathway analysis and Mendelian randomization in large cohorts such as UK Biobank. My research outputs resulted in discovering associated genes and pathways for varying diseases such as resistance to infectious diseases, psychiatric disorders, neurological traits and metabolic disorders using genomics, trasciptomics and metabolomics data.

Currently, I am leading AFBI Farm Animal Biostatistics (AFBI FAB). I developed and lead the Northern Ireland Farm Animal Biobank (NIFAB) project to utilize multi-omics data in animal and plant breeding researches.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 8 - Decent Work and Economic Growth
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action

Fingerprint

Dive into the research topics where Masoud Shirali is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or