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Hasindu Gamaarachchi focuses on the design, development and optimisation of bioinformatics software and hardware for real-time nanopore sequencing data analysis; and, prototyping novel domain-specific computer systems for efficient genomics data analysis. He has around 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 recent work include: a novel domain-specific file format for efficient nanopore data processing (); GPU-accelerated adaptive banded event alignment algorithm which is a core component in nanopore data analysis (); memory optimisation of nanopore sequence alignment using partitioned indexes (); and, optimisation of de Bruijn graphs using cache-friendly data structures in next-generation variant calling ().Ìý

Since 2023, Hasindu has been a lecturer at the School of Computer Science and Engineering, Â鶹Éçmadou Sydney.Ìý He is also a in the . 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 Â鶹Éçmadou Sydney in 2020.ÌýHis PhD research has won multiple awards including .ÌýHe has served as a lecturer at the Department of Computer Engineering and a resource person at NVIDIA research centre at the University of Peradeniya.ÌýHe completed his bachelor’s degree with first-class honours in Computer Engineering from the University of Peradeniya, Sri Lanka in 2015, where he received the award for best performance in Engineering.