Associate Professor (Adjunct) Matthew H. Law

Senior Research Officer

Career History

My BSc (Hons) (1997-2000) at Adelaide University and PhD (2003-2007) through Melbourne University (Supervisor Professor Richard G.H. Cotton, Genomic Disorders Research Centre) were in molecular genetics. Following a post-doctoral position at the UHI Millennium Institute, UK, (now the University of the Highlands and Islands) in 2007-2011, I returned to Australia, joining the QIMR Berghofer Medical Research Institute.

I am a statistical geneticist and bioinformatician in the Statistical Genetics Laboratory, embedded in the wider Genetic Epidemiology department. I have expertise in large data analysis, and am at the forefront of using statistical techniques to identify the genetic underpinnings of skin cancer, particularly melanoma.

Area of Interest

Statistical genetics

Genome-wide association studies

Polygenic risk scores

Skin cancer

Professional Associations

2018 – current: QIMR Berghofer Senior Research Officer, Statistical Genetics

2019 – current: Adjunct Associate Professor, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology

2021 - current. Honorary Senior Fellow in Biomedical Sciences - Partners, School of Biomedical Science, The University of Queensland

2022 - current. Research Integrity Advisor. QIMR Berghofer Medical Research Institute, Queensland, Australia


Funding successes

GRANTS: AUD 4.3 million for eight grants as a CI, grant writer and lead analyst in the last 5 years; AI on 9th successful grant and CI on 10th grant declined due to matched funding. Career total 13 grants (>$6.6 million) as a Chief Investigator and lead analyst plus three competitive travel grants. • 2024 August – Co-Investigator on an Australian Skin and Skin Cancer Research Centre Early Career Researcher Grant “Confirming and Further Exploration of Previously Reported Germline Genetic Influences on Invasive vs In situ Melanoma Risk.” AU $20,000

• 2024 May – CIB on NHMRC Partnership grant APP 2030931 “Melanoma Population Screening: Using Genomics to Facilitate Risk Stratification”. AU $1,117,222

• 2023 December – Lead CI on project RSP-271-2024 ”Combining genetics with behavioural and environmental risks to predict skin cancers” from Tour de Cure. AU $ 96,692.59

• 2023, September– Sole CI on a Melanoma research project “Improved genetic risk prediction tools for melanoma” that secured further funding from a a donation from The Great Priory of Queensland. AU $10,000. Followed by a further matched donation of $20,000 in December, 2023 from Hand Hearts Pockets.

• 2023 – Sole CI on a Melanoma research project funded by a donation from Brian and Merle Dwyer to QIMR Bergofer “Improved genetic risk prediction tools for melanoma” ; AU $25,000

• 2020: Co-investigator on an Australian Skin and Skin Cancer Research Centre Early Career Researcher Grant “Translating Polygenic Risk Scores: feasibility, acceptability, and impact of proving melanoma holistic risk information”. ASSC-22020. AU $18,000.

• 2020: AI on NHMRC ideas grant APP1182775 “Connecting the Genome to Gene Function in Cutaneous Melanoma”. AU $594,110.62.

• 2020: CIH on NHMRC Clinical Trials and Cohort Studies grant APP1185416 “QSKIN: the burden of skin cancer”. AU $3,074,296.50.

• 2018: Lead CI on QIMR Berghofer Seed funding grant “Systems Biology of the skin”. AU $48,500.


Key Publications

Ingold N, Seviiri M, Ong JS, Neale RE, Pandeya N, Whiteman DC, Olsen CM, Martin NG, Duffy DL, Khosrotehrani K, Hayward NK, Montgomery GW, MacGregor S, Law MH. Exploring the germline genetics of in situ and invasive cutaneous melanoma. JAMA Derm. Online 14th of August, 2024. (2024).

Ingold N, Seviiri M, Ong JS, Gordon S, Neale RE, Whiteman DC, Olsen CM, MacGregor 0S, Law MH. Genetic analysis of perceived youthfulness reveals differences in how men and women’s age is perceived. J Invest Dermatol. Online 7th of March, 2024

Pandeya N, Dusingize JC, Olsen CM, MacGregor S, Neale RE, Law MH, Whiteman DC. Does genetic risk modify the effect of skin screening on melanoma detection rates? Br J Dermatol. 190 (1), 37-44 (2023)

Read More

Student Projects