Hawlader Al-Mamun

Hawlader Al-Mamun is an Adjunct Research Fellow at the School of Biological Sciences, University of Western Australia, where his work focuses on the intersection of computer science, bioinformatics, and quantitative genetics. His research centers on improving prediction accuracy of commercially important phenotypes in plants and animals, and unraveling complex biological factors through machine learning integration with multi-omic data.

Education

• PhD in Quantitative Genetics from University of New England (2015)
• MSc in Bioinformatics from Chalmers University of Technology (2007)
• BSc in Computer Science and Engineering from Khulna University (2022)

Research Focus

Dr. Al-Mamun's expertise spans computational biology and agricultural genomics with emphasis on:

• Applying AI/ML to optimize biological challenges
• Developing computational methods for genomic data analysis
• Integrating GWAS with gene expression data
• Leveraging functional knowledge in genomic selection
• Improving phenotype prediction accuracy in plants/animals

His work significantly contributes to Sustainable Development Goals related to food security through advanced genomic approaches.

Publication Trends

His 2024-2025 publications demonstrate strong focus on plant genomics (particularly Brassica species and legumes), integrating machine learning with genomic data to address agricultural challenges including disease resistance and yield prediction. Key thematic areas include pangenome construction, feature selection in GWAS, genotype-environment interactions, and multi-omics integration.

Professional Activities

Dr. Al-Mamun serves as a Visiting Scientist at CSIRO - Agriculture and Food since April 2023. His collaborative network spans multiple international institutions as evidenced by extensive co-authorship on recent publications. His research fingerprint shows significant contributions to Genomics (100%), Disease Resistance (66%), Genome-Wide Association Study (48%), and Brassica research (44%).