Basanta Dhungana

PhD candidate in Genomics, Phenomics & Bioinformatics at North Dakota State University, graduating December 2026.

I build deep learning models for large-scale biological data and validate them against independent biological evidence. My dissertation pretrains a transformer on a maize bulk RNA-seq corpus of more than 41,000 samples and uses the learned representations to infer drought-responsive gene regulatory networks.

Interests: computational genomics, gene regulatory networks, transformers for omics, plant stress transcriptomics, reproducible HPC workflows.

Repositories

Analysis_of_SDS-PAGE — Automated SDS-PAGE band detection, normalization, and soybean variety classification. Code behind Han et al. (2025), Food Hydrocolloids.

Publications

Han, M., Dhungana, B., Yan, C., Jin, Z., Islam, S., Rao, J., Dottey, C., & Xu, M. (2025). AI-assisted screening of soybean varieties: linking protein composition to tofu quality. Food Hydrocolloids. doi:10.1016/j.foodhyd.2025.112108

Hasan, F., Manan, F., Fernandez, E. C., Wu, S., Dhungana, B., Yan, C., Shi, G., Liu, Z., & Liang, Z. (2026). Distinct temporal responses to Xanthomonas translucens strains shape bacterial leaf streak development in triticale. bioRxiv. doi:10.64898/2026.09.07.749878

Tools

Python PyTorch R Bioconductor Linux SLURM Docker Snakemake Git

Contact

basanta.dhungana@ndsu.edu · ORCID · Google Scholar · LinkedIn