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Dr Maggy Lord
Dr

Maggy Lord

Email: 
Phone: 
+61 7 336 52516

Overview

Background

Dr. Lord leads the Spectroscopy Lab at the School of the Environment, the University of Queensland. Her interdisciplinary research is focused on

1. Modified diets for mass rearing of insects including Wolbachia, SIT and gene drive technologies

2. Monitoring and evaluation tools for vector control tools using infrared light and artificial intelligence.

3. Climate change and its impact on vector-borne diseases

As a Chief Investigator, Dr. Lord has secured research funding from several funding bodies including the Bill & Melinda Gates Foundation, USAID, NHMRC, AQIRF, and Grand Challenges Canada to develop rapid tools for large-scale disease surveillance. With her recent funding from the National Health and Medical Research Council, she is developing a smart trap for Ross River virus surveillance in partnership with Queensland Health.

Dr. Lord has published over 60 research works, and presented her findings at over 30 international conferences. Her groundbreaking research has been featured in hundreds of media outlets worldwide. Her contributions to global health have earned her numerous academic accolades, including being named a Fellow of the American Society of Tropical Medicine and Hygiene in 2024.

Beyond research, Dr. Lord leads the STEM Spotlight program, a STEM mentorship initiative that provides a safe and engaging space for students from culturally and linguistically diverse (CALD) communities. The program encourages students from underrepresented backgrounds to pursue careers in STEM while providing them the opportunity to be part of the STEM community in a safe space. In recognition of this work, she was awarded the Diversity and Inclusion Champion Award (2023) by the Department of Multicultural Affairs. Dr Lord has served/serves on numerous committees including the Australian of the year selection Committee (2023), the American Society of Tropical Medicine and Hygiene Scientific Committee, Young investigator award committee (ASTMH), Equity, Diversity and Inclusion committee (UQ).Between 2021-2024 she served as the vice president of African Professionals of Australia (QLD).

Current Research interests and PhD projects:

Techniques to enhance mass rearing of mosquitoes to support next generation vector control interventions

Climate change impacts on vector borne diseases

Availability

Dr Maggy Lord is:
Not available for supervision
Media expert

Qualifications

  • Doctor of Philosophy, Griffith University

Research interests

  • Techniques to improve mass rearing of mosquitoes

    Wolbachia strategies, SIT and gene-drive technologies

  • Artificial intelligence

    Development of AI tools for monitoring vector-borne diseases

  • Climate change

    Impact of climate change on mosquitoes including impact on interaction with interventions such as Wolbachia

Research impacts

Demonstrated the capacity of infrared and Artificial intelligence to

1. Characterise mosquito species into age, species and infection

2. Detect Zika, Dengue and Chikungunya in seconds non-invasively in mosquitoes

3. Detect Wolbachia in mosquitoes non-invasively

4. Detect Trypanosoma cruzi in Triatomine species and faecal samples

5. Detect malaria non-invasively through the skin of human subjects

6. Detect soil-transmitted helminths non-invasively in experimental mouse

Works

Search Professor Maggy Lord’s works on UQ eSpace

58 works between 2009 and 2025

1 - 20 of 58 works

2025

Journal Article

Limited spectroscopy data and machine learning for detection of Zika virus infection in Aedes aegypti mosquitoes

Reigoto, Leonardo, Maciel-de-Freitas, Rafael, Sikulu-Lord, Maggy T., Garcia, Gabriela A., Araujo, Gabriel and Lima, Amaro (2025). Limited spectroscopy data and machine learning for detection of Zika virus infection in Aedes aegypti mosquitoes. Tropical Medicine and Infectious Disease, 10 (11) 308, 308. doi: 10.3390/tropicalmed10110308

Limited spectroscopy data and machine learning for detection of Zika virus infection in Aedes aegypti mosquitoes

2025

Journal Article

Identification of visible and near-infrared signature peaks for arboviruses and Plasmodium falciparum

Goh, Brendon, Soares Magalhães, Ricardo J., Ciocchetta, Silvia, Liu, Wenjun and Sikulu-Lord, Maggy T. (2025). Identification of visible and near-infrared signature peaks for arboviruses and Plasmodium falciparum. PLoS ONE, 20 (4 April) e0321362, e0321362. doi: 10.1371/journal.pone.0321362

Identification of visible and near-infrared signature peaks for arboviruses and Plasmodium falciparum

2024

Journal Article

Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning

Mwanga, Emmanuel P., Mchola, Idrisa S., Makala, Faraja E., Mshani, Issa H., Siria, Doreen J., Mwinyi, Sophia H., Abbasi, Said, Seleman, Godian, Mgaya, Jacqueline N., Jiménez, Mario González, Wynne, Klaas, Sikulu-Lord, Maggy T., Selvaraj, Prashanth, Okumu, Fredros O., Baldini, Francesco and Babayan, Simon A. (2024). Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning. Malaria Journal, 23 (1) 86, 86. doi: 10.1186/s12936-024-04915-0

Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning

2024

Journal Article

Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning

Sikulu-Lord, Maggy T., Edstein, Michael D., Goh, Brendon, Lord, Anton R., Travis, Jye A., Dowell, Floyd E., Birrell, Geoffrey W. and Chavchich, Marina (2024). Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning. PLoS One, 19 (3) e0289232, 1-18. doi: 10.1371/journal.pone.0289232

Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning

2023

Journal Article

Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris

Kariyawasam, Tharanga N., Ciocchetta, Silvia, Visendi, Paul, Soares Magalhães, Ricardo J., Smith, Maxine E., Giacomin, Paul R. and Sikulu-Lord, Maggy T. (2023). Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris. PLOS Neglected Tropical Diseases, 17 (11) e0011695, e0011695. doi: 10.1371/journal.pntd.0011695

Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris

2023

Journal Article

Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis

Mshani, Issa H., Siria, Doreen J., Mwanga, Emmanuel P., Sow, Bazoumana Bd., Sanou, Roger, Opiyo, Mercy, Sikulu-Lord, Maggy T., Ferguson, Heather M., Diabate, Abdoulaye, Wynne, Klaas, González-Jiménez, Mario, Baldini, Francesco, Babayan, Simon A. and Okumu, Fredros (2023). Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis. Malaria Journal, 22 (1) 346. doi: 10.1186/s12936-023-04780-3

Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis

2023

Other Outputs

Machine learning and detection of Trichuris muris in mice

Kariyawasam, Tharanga, Lord, Maggy and Ciocchetta, Silvia (2023). Machine learning and detection of Trichuris muris in mice. The University of Queensland. (Dataset) doi: 10.48610/7f11f9f

Machine learning and detection of Trichuris muris in mice

2023

Journal Article

Rapid and non-invasive detection of Aedes aegypti co-infected with Zika and dengue viruses using near infrared spectroscopy

Garcia, Gabriela A., Lord, Anton R., Santos, Lilha M. B., Kariyawasam, Tharanga N., David, Mariana R., Couto-Lima, Dinair, Tátila-Ferreira, Aline, Pavan, Márcio G., Sikulu-Lord, Maggy T. and Maciel-de-Freitas, Rafael (2023). Rapid and non-invasive detection of Aedes aegypti co-infected with Zika and dengue viruses using near infrared spectroscopy. Viruses, 15 (1) 11, 11. doi: 10.3390/v15010011

Rapid and non-invasive detection of Aedes aegypti co-infected with Zika and dengue viruses using near infrared spectroscopy

2023

Journal Article

State of the art and the future of fecal analysis using infrared spectroscopy

Kho, Elise A., Fernandes, Jill N., Tilbrook, Alan J., Fox, Glen P., Sikulu-Lord, Maggy T., Kotze, Andrew C., Beasley, Anne M., James, Peter J., Tolleson, Douglas R. and Cozzolino, Daniel (2023). State of the art and the future of fecal analysis using infrared spectroscopy. Applied Spectroscopy Reviews, 58 (10), 755-785. doi: 10.1080/05704928.2022.2143795

State of the art and the future of fecal analysis using infrared spectroscopy

2023

Other Outputs

Spectral Data for Plasmodium

Lord, Maggy (2023). Spectral Data for Plasmodium. The University of Queensland. (Dataset) doi: 10.48610/5ecd1e8

Spectral Data for Plasmodium

2022

Other Outputs

Infrared signtures collected non-invasively from malaria positive and negative indviduals in Brazil

Kariyawasam Haputhanthri Kankanamge, Tharanga and Lord, Maggy (2022). Infrared signtures collected non-invasively from malaria positive and negative indviduals in Brazil. The University of Queensland. (Dataset) doi: 10.48610/e19e6fc

Infrared signtures collected non-invasively from malaria positive and negative indviduals in Brazil

2022

Conference Publication

In vitro detection of dengue 1 virus in human whole blood, plasma, and serum with nearinfrared spectroscopy

Goh, Brendon, Visendi, Paul, Ciocchetta, Silvia, Soares, Ricardo, Liu, Wenjun and Lord, Maggy (2022). In vitro detection of dengue 1 virus in human whole blood, plasma, and serum with nearinfrared spectroscopy. American Society of Tropical Medicine and Hygiene 2022 Annual Meeting, Seattle, WA, United States, October 30 - November 3, 2022. Arlington, VA United States: American Society of Tropical Medicine and Hygiene.

In vitro detection of dengue 1 virus in human whole blood, plasma, and serum with nearinfrared spectroscopy

2022

Journal Article

Malaria absorption peaks acquired through the skin of patients with infrared light can detect patients with varying parasitemia

Garcia, Gabriela A., Kariyawasam, Tharanga N., Lord, Anton R., da Costa, Cristiano Fernandes, Chaves, Lana Bitencourt, Lima-Junior, Josué da Costa, Maciel-de-Freitas, Rafael and Sikulu-Lord, Maggy T. (2022). Malaria absorption peaks acquired through the skin of patients with infrared light can detect patients with varying parasitemia. PNAS Nexus, 1 (5) pgac272, pgac272. doi: 10.1093/pnasnexus/pgac272

Malaria absorption peaks acquired through the skin of patients with infrared light can detect patients with varying parasitemia

2022

Conference Publication

Novel diagnostic tools for soil transmitted helminths with non-invasive capability. The nearinfrared spectroscopy and artificial intelligence

Sikulu-Lord, Maggy T., Kariyawasam, Tharanga, Ciocchetta, Silvia, Soares Magalhaes, Ricardo J. and Giacomin, Paul (2022). Novel diagnostic tools for soil transmitted helminths with non-invasive capability. The nearinfrared spectroscopy and artificial intelligence. American Society of Tropical Medicine and Hygiene 2022 Annual Meeting, Seattle, WA, United States, October 30 - November 3, 2022. Arlington, VA United States: American Society of Tropical Medicine and Hygiene.

Novel diagnostic tools for soil transmitted helminths with non-invasive capability. The nearinfrared spectroscopy and artificial intelligence

2022

Journal Article

First report of the detection of DENV1 in human blood plasma with near-infrared spectroscopy

Goh, Brendon, Visendi, Paul, Lord, Anton R., Ciocchetta, Silvia, Liu, Wenjun and Sikulu-Lord, Maggy T. (2022). First report of the detection of DENV1 in human blood plasma with near-infrared spectroscopy. Viruses, 14 (10) 2248, 2248. doi: 10.3390/v14102248

First report of the detection of DENV1 in human blood plasma with near-infrared spectroscopy

2022

Journal Article

Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains

Alharbi, Bushra, Cozzolino, Daniel, Sikulu-Lord, Maggy, Whiley, David and Trembizki, Ella (2022). Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains. Journal of Microbiological Methods, 201 106576, 106576. doi: 10.1016/j.mimet.2022.106576

Near-infrared spectroscopy as a feasible method for the differentiation of Neisseria gonorrhoeae from Neisseria commensals and antimicrobial resistant from susceptible gonococcal strains

2022

Book Chapter

Application of infrared techniques for characterisation of vector-borne disease vectors

Sikulu-Lord, Maggy and Maciel-de-Freitas, Rafael (2022). Application of infrared techniques for characterisation of vector-borne disease vectors. Infrared Spectroscopy - Perspectives and Applications [Working Title]. (pp. 1-19) edited by Marwa El-Azazy, Khalid Al-Saad and Ahmed S. El-Shafie. London, United Kingdom: IntechOpen. doi: 10.5772/intechopen.106941

Application of infrared techniques for characterisation of vector-borne disease vectors

2021

Journal Article

Near infrared spectroscopy accurately detects Trypanosoma cruzi non-destructively in midguts, rectum and excreta samples of Triatoma infestans

Tátila-Ferreira, Aline, Garcia, Gabriela A., dos Santos, Lilha M. B., Pavan, Márcio G., de C. Moreira, Carlos José, Victoriano, Juliana C., da Silva-Junior, Renato, dos Santos-Mallet, Jacenir R., Verly, Thaiane, Britto, Constança, Sikulu-Lord, Maggy T. and Maciel-de-Freitas, Rafael (2021). Near infrared spectroscopy accurately detects Trypanosoma cruzi non-destructively in midguts, rectum and excreta samples of Triatoma infestans. Scientific Reports, 11 (1) 23884, 23884. doi: 10.1038/s41598-021-03465-8

Near infrared spectroscopy accurately detects Trypanosoma cruzi non-destructively in midguts, rectum and excreta samples of Triatoma infestans

2021

Conference Publication

The near-infrared spectroscopy technique can non-invasively detect malaria parasites through the skin of mice

Sikulu-Lord, Maggy, Lord, Anton Richard, Goh, Brendon, Travis, Jye, Birrell, Geoffrey W., Chavchich, Marina, Harris, Ivor E., Mcleod-Robertson, Stephen, Kent, Anthony, Vanbreda, Karin and Edstein, Michael D. (2021). The near-infrared spectroscopy technique can non-invasively detect malaria parasites through the skin of mice. ASTMH Annual Meeting, Virtual, 17-21 November 2021. Deerfield, IL, United States: American Society of Tropical Medicine and Hygiene. doi: 10.4269/ajtmh.abstract2021

The near-infrared spectroscopy technique can non-invasively detect malaria parasites through the skin of mice

2021

Journal Article

The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence

Goh, Brendon, Ching, Koek, Soares Magalhães, Ricardo J., Ciocchetta, Silvia, Edstein, Michael D., Maciel-de-Freitas, Rafael and Sikulu-Lord, Maggy T. (2021). The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence. PLoS Neglected Tropical Diseases, 15 (4) e0009218, 1-24. doi: 10.1371/journal.pntd.0009218

The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence

Funding

Current funding

  • 2025 - 2028
    Infrared and Artificial intelligence technique to enhance surveillance of Ross River virus hotspots
    NHMRC IDEAS Grants
    Open grant
  • 2021 - 2026
    Advancing enhanced biosecurity of major arboviral and other vector-borne diseases in Australia through near infrared spectroscopy technology
    NHMRC IDEAS Grants
    Open grant

Past funding

  • 2019 - 2023
    Development of instantaneous ultra-sensitive diagnostic tool to guide malaria elimination
    NHMRC Project Grant
    Open grant
  • 2019 - 2020
    UQ AWARE - Dr Maggy Lord
    UQ Amplify Women's Academic Research Equity
    Open grant
  • 2017
    Dr Maggy Lord - Maternity Funding (Advance Queensland Women's Academic Fund)
    Queensland Government Advance Queensland Women's Academic Fund
    Open grant
  • 2016 - 2019
    Application of NIRS for arbovirus detection
    United States Agency for International Development
    Open grant

Supervision

Availability

Dr Maggy Lord is:
Not available for supervision

Media

Enquiries

Contact Dr Maggy Lord directly for media enquiries about:

  • infrared spectroscopy
  • malaria
  • Mosquitoes
  • non-invasive diagnostic tools
  • surveillance

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au