Sandali Lokuge is a Doctoral Candidate in Bioinformatics with nine years of research experience transforming next-generation sequencing and epigenomic data into biological insights using Python, R, and reproducible workflows. She has led genome and transcriptome assemblies for Cinnamomum species, mapped genes in the cinnamaldehyde pathway, and performed differential expression and single-cell analyses to link molecular variation to crop traits and environments. At Indiana University she combines statistical modeling and machine learning to interrogate RNA-seq and network data, while earlier work at NUS applied graph-based influence modeling to large social datasets for pharmaceutical clients. Comfortable bridging computational engineering and wet-lab questions, she brings practical experience in building pipelines and large-scale data collection tools alongside strong domain knowledge in plant and human genomics.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Engineering Faculty of Engineering, Bachelor's degree Computer Engineering Faculty of Engineering at University of Peradeniya
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at Indiana University Indianapolis
Contributions:14 pushes, 1 branch in 1 year 7 months
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