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Contact Details

Phone
+64 3 479 7831
Email
mik.black@otago.ac.nz
Position
Professor
Department
Department of Biochemistry
Qualifications
BSc(Hons) MS PhD
Research summary
Bioinformatics, cancer genomics, data science, statistics
Teaching
BIOC352, GENE315, GENE360, GENE412, STAT435, QGEN401, BIOC461

Research

Professor Black is a member of the Centre for Translational Cancer Research, and his research focuses on the development of methods for the analysis of genomic data, with a strong emphasis on cancer and other human diseases. A common theme is the use of techniques that allow high-dimensional and often very disparate data sets to be combined in ways that provide new insights into disease development and progression:
Centre for Translational Cancer Research

This research is highly collaborative, and Mik works closely with a number of Otago research groups, as well as with long-standing national and international collaborators at the University of Auckland, the Institute of Environmental Science and Research, Wake Forest University Medical School, and Moffitt Cancer Center.

In addition to his own work, Mik has been heavily involved in establishing national research infrastructure in high performance computing through the NZ eScience Infrastructure, and in genomics and bioinformatics through Genomics Aotearoa, where he is the Chair of the Bioinformatics Leadership Team:
NZ eScience Infrastructure
Genomics Aotearoa

Publications

Decourtye-Espiard, L., Schulpen, E., McElroy, K., Charlton, A., van der Post, R. S., Godwin, T., Bougen-Zhukov, N., … Chen, A., Zou, D., Vaessen, C., Black, M., … Guilford, P. (2026). E-cadherin loss in Cd44-positive gastric cells initiates diffuse gastric cancer in a murine model. Gut. Advance online publication. doi: 10.1136/gutjnl-2025-336182 Journal - Research Article

Moloney-Geany, K., Black, M. A., Day, R. C., Guilford, P., & Dunnet, M. J. (2025). A set cover algorithm identifies minimal circulating tumour DNA sequencing targets for colorectal cancer detection. Scientific Reports, 15, 40949. doi: 10.1038/s41598-025-24719-9 Journal - Research Article

Nyaga, D. M., Zaied, R. E., Silander, O. K., Black, M. A., & O'Sullivan, J. M. (2025). Beyond single references: Pangenome graphs and the future of genomic medicine. Frontiers in Genetics, 16, 1679660. doi: 10.3389/fgene.2025.1679660 Journal - Research Other

Champion, D. J., Chen, T.-H., Thomson, S., Black, M. A., & Gardner, P. P. (2025). Evaluating computational tools for protein-coding sequence detection: Are they up to the task? RNA. Advance online publication. doi: 10.1261/rna.080416.125 Journal - Research Article

Nielsen Dandoroff, E., Black, M., & Bicknell, L. S. (2025). Exploring Mendelian-informed genetic variants for their potential to alter cancer risk using the UK Biobank. Proceedings of the Genetics Otago (GO) Annual Symposium. Retrieved from https://blogs.otago.ac.nz/go Conference Contribution - Published proceedings: Abstract

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