Summary
Neblina Sikta is a Clinical R&D Bioinformatician with 11 years’ experience at the intersection of software engineering and health data science, currently advancing genomic diagnostics at Victorian Clinical Genetics Services. She specialises in discovering rare genetic variants associated with epilepsy, pairing statistical rigor with bespoke bioinformatics pipelines to accelerate variant interpretation. Previously she built interactive 3D protein-structure web tools and visualization systems at the Garvan Institute, bringing production-grade software practices to research workflows. Her multidisciplinary training in Computer Science, Physics and Neuroscience, plus a Graduate Diploma in Health Data Science from UNSW, enables her to translate complex biological questions into scalable computational solutions. Notably, she has automated HPC simulation workflows and rendered large-scale scientific visualizations, a background that informs her efficiency in handling large genomic datasets. Based in Melbourne, she combines curiosity-driven research with practical engineering to deliver reproducible, impact-focused biomedical tools.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Physics, Neuroscience, Bachelor’s Degree, Computer Science, Physics, Neuroscience at Swinburne University of Technology
UNSW Sydney
English, Bengali