Hasindu Gamaarachchi is a senior lecturer at the School of Computer Science and Engineering, UNSW Sydney.  He is also a visiting scientist in the Genomic Technologies Group at Garvan Institute of Medical Research. From 2020 to 2022, he worked as a Genomics Computing Research Scientist at Garvan Institute of Medical Research. Hasindu completed his PhD in Computer Science and Engineering at UNSW Sydney in 2020. He has served as a lecturer at the Department of Computer Engineering and a resource person at NVIDIA research centre at the University of Peradeniya. He completed his bachelor’s degree with first-class honours in Computer Engineering from the University of Peradeniya, Sri Lanka in 2015.

Hasindu Gamaarachchi focuses on the design, development and optimisation of bioinformatics software and hardware for real-time sequencing data analysis; and, prototyping novel domain-specific computer systems for efficient genomics data analysis. He has more than ten years of experience in embedded computing systems, computer architecture, general-purpose computing with the use of a Graphics Processing Unit (GPU), high-performance computing and low-level system programming, which he leverages for the architecture-aware design of efficient computational systems for bioinformatics. Examples of his work include: an iterative genome assembly method that uses nanopore adaptive sampling to produce near-complete genome assemblies  (Gamaarachchi, Nature Communications 2025); a novel domain-specific file format for efficient nanopore data processing (Gammaarachchi, Nature Biotechnology 2022); and, GPU-accelerated adaptive banded event alignment algorithm which is a core component in nanopore data analysis (Gammaarachchi, BMC Bioinformatics 2020).