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Contact Details

+64 3 479 7831
Department of Biochemistry
BSc(Hons) MS PhD
Research summary
Bioinformatics, cancer genomics, data science, statistics
BIOC352, GENE315, GENE360, GENE412, STAT435, QGEN401, BIOC461


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


Bilton, T. P., Sharma, S. K., Schofield, M. R., Black, M. A., Jacobs, J. M. E., Bryan, G. J., & Dodds, K. G. (2024). Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data. Theoretical & Applied Genetics, 137, 64. doi: 10.1007/s00122-024-04568-2 Journal - Research Article

Lamont, A., Wilcox, P., & Black, M. (2023, November-December). Development of a population simulator to optimise study designs and estimate polygenic disease risk/resilience in Aotearoa New Zealand Māori populations. Verbal presentation at the International Biometric Society Australasian Region (IBS-AR) and the Statistical Ecology and Environmental Monitoring (SEEM) Joint Conference, Waitangi, New Zealand. Conference Contribution - Verbal presentation and other Conference outputs

Maurin, M., Ranjouri, M., Megino-Luque, C., Newberg, J. Y., Du, D., Martin, K., … Black, M. A., & Mann, K. M. (2023). RBFOX2 deregulation promotes pancreatic cancer progression and metastasis through alternative splicing. Nature Communications, 14, 8444. doi: 10.1038/s41467-023-44126-w Journal - Research Article

Yang, Z., Guarracino, A., Biggs, P. J., Black, M. A., Ismail, N., Wold, J. R., Merriman, T. R., … de Ligt, J. (2023, August). Pangenome graphs in infectious disease: A promising and practical implementation for comprehensive genetic variation analysis. Verbal presentation at the Queenstown Molecular Biology (QMB) Genomics Satellite, Queenstown, New Zealand. Conference Contribution - Verbal presentation and other Conference outputs

Hughes, M., Brew, T., Godwin, T., Black, M., & Guilford, P. (2023). Single-cell RNA sequencing reveals synthetic lethal targets for chemoprevention of hereditary diffuse gastric cancer. Proceedings of the Genetics Otago (GO) Annual Symposium & Workshops. Retrieved from Conference Contribution - Published proceedings: Abstract

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