TEAM
Daniel Van Zyl
CERI Team

Daniel
Van Zyl

PhD: Computer Science

Daniel is a final year PhD student in Computer Science with a focus on artificial intelligence and machine learning. He completed his undergraduate degree in Computer Science at Stellenbosch University and has been conducting research with CERI since the start of 2024 at the intersection of computer science and genomics. Through his research, he has applied his background in computer science and machine learning to develop novel methods for efficiently modeling and classifying viral genomes.

// Research Output

Publications

2025
Identifying genomic surveillance gaps in Africa for the global public health response to West Nile virus: a systematic review

Moir M, Sitharam N, Hofstra L, Dor G, Mwanyika G, Ramphal Y, Reichmuth M, San J, Gifford R, Wilkinson E, Tshiabuila D, Preiser W, Konou A, Bitew M, Onoja A, Paganotti G, Abera A, Maror J, Kayiwa J, Abuelmaali S, Lusamaki E, de Oliveira T, Alcantara L, Holmes E, Padane A, Musa A, Abera A, Campbell A, Ssemaganda A, Ahouidi A, Muianga A, Samson A, Onoja A, Alemu B, Foka C, Baxter C, van Zyl D, de Castro Silva D, Martin D, Wilkinson E, Kouma E, Simo F, Mwanyika G, Godebo G, D’or G, Tegally H, Omara I, Maror J, Poonagavan J, Juma J, Oludele J, Xavier J, Lourenco J, Fokam J, Maeka K, Singh L, Chabuka L, Issaka M, Hofstra M, Giovanetti M, Faye M, Koffi M, Owusu M, Dikongo M, Alimohamed M, Bitew M, Moir M, Kraemer M, Sitharam N, Jerome N, Mbhele N, Miantsatian Andry N, Tomori O, Magalutcheemee R, Guimaraes R, Oyola S, Abuelmaali S, Golubchik T, Fonseca V, Preiser W, Ramphal Y, Venter M, Burt F, Baxter C, Lessells R, de Oliveira T, Tegally H

The Lancet Microbe
6:101176
2025
Craft: A Machine Learning Approach to Dengue Subtyping

van Zyl D, Dunaiski M, Tegally H, Baxter C, de Oliveira T, Xavier J

doi: 10.1101/2025.02.10.637410.
2024
Alignment-Free Viral Sequence Classification at Scale

van Zyl D, Dunaiski M, Tegally H, Baxter C, , de Oliveira T, Xavier J

doi: 10.1101/2024.12.10.627186.