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Oxford Nanopore Technologies

Mile Sikic

Mile Sikic
Job title
Institution
Genome Institute of Singapore, A*STAR, Singapore
Biography

Professor Mile Sikic is a group leader at the Genome institute of Singapore, A*STAR. He is also a professor in computer science at the University of Zagreb and he obtained a PhD in 2008 at the same university. At the beginning of his career, he was involved as a system integrator, consultant, and project manager, in more than 70 industry projects in the fields of computer and mobile networks. His research interests include the development of classical algorithms and AI methods for genome sequence analysis and RNA structure prediction. Prof. Sikic has started several companies and one hedge fund.

Recent publications

Penic, R.J., Vlasic, T., Huber, R.G., Wan, Y., and Sikic, M. RiNALMo: General-purpose RNA language models can generalize well on structure prediction tasks. ArXiv. (2024). DOI: https://doi.org/10.48550/arXiv.2403.00043

Vrcek, L. et al. Geometric deep learning framework for de novo genome assembly. BioRxiv. (2024). DOI: https://doi.org/10.1101/2024.03.11.584353

Vaser, R. and Sikic, M. Time- and memory-efficient genome assembly with Raven. Nat Comput Sci. 1:332–336 (2021). DOI: https://doi.org/10.1038/s43588-021-00073-4

Talks at this conference

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