Md Mehedi Hasan

Md Mehedi Hasan serves as Research Assistant Professor in the Department of Pathobiological Sciences at Louisiana State University's School of Veterinary Medicine, appointed November 13, 2023. His academic trajectory spans Bangladesh, China, and Japan, reflecting a globally integrated research approach focused on computational biology solutions for veterinary medicine.

His educational foundation includes:

• PhD in Bioinformatics, China Agricultural University (2016)
• MSc in Statistics, Rajshahi University, Bangladesh (2012)
• BSc in Statistics, Rajshahi University, Bangladesh (2010)

Dr. Hasan's research bridges machine learning and genomic data science, specializing in next-generation sequencing analysis (bulk/single-cell RNAseq, ATACseq, spatial transcriptomics) and epigenetic modification prediction. His innovative work develops deep learning frameworks for RNA/DNA methylation site identification and protein structure analysis, creating practical tools like Deepm5C and Meta-i6mA that advance precision veterinary diagnostics. This computational expertise enables novel insights into host-pathogen interactions and neurobiological impacts of infections.

His scientific recognition includes:

• JSPS Postdoctoral Fellowship (2019)
• Chinese Scholarship Council PhD Award (2012)
• Multiple merit-based undergraduate awards in Bangladesh

Dr. Hasan actively mentors students in NGS data analysis and bioinformatics tool development, with recent publications demonstrating strong grant support. His international collaborations—particularly with Japanese institutions—enhance research scope while providing students global networking opportunities. The lab emphasizes practical computational skills applicable to veterinary genomics challenges, with growing capacity for complex multi-omics projects since his 2023 appointment.

Current research directions focus on integrating spatial transcriptomics with machine learning to model tissue-specific disease mechanisms, while expanding epigenetic prediction tools for veterinary applications. This positions his lab at the forefront of computational veterinary medicine.