Overview
Background
I am a Senior Lecturer in Cosmology in the School of Mathematics and Physics at the University of Queensland, and recipient of the 2026 Pawsey Medal from the Australian Academy of Science. My research focuses on mapping the positions and motions of millions of galaxies to understand how our Universe has evolved since the Big Bang — and to shed light on the mysterious dark matter and dark energy that make up 95% of everything in it.
I work on some of the largest galaxy surveys ever undertaken including
- DESI (the Dark Energy Spectroscopic Instrument) — a project mapping tens of millions of galaxies across the Universe.
- 4HS (the 4MOST Hemisphere Survey) — a new southern-sky survey that began observations in 2026, in which I lead the cosmology team
To analyse the enormous datasets these surveys produce, my team develops cutting-edge computing and statistical tools — techniques for making sense of extraordinarily large and complex data that are increasingly finding uses beyond astronomy.
Academic Background
- Undergraduate: MPhys 1st Class Honours - University of Sussex, 2008-2012
- Postgraduate: PhD - University of Portmouth, 2012-2016
- Research Associate - University of Western Australia, 2015-2019
- Research Fellow in Cosmology - University of Queensland, 2019-
Availability
- Dr Cullan Howlett is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Doctor of Philosophy, University of Portsmouth
Research interests
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Testing gravity using galaxy positions and motions
One compelling way to explain dark matter and dark energy is that our current theory of gravity (General Relativity) doesn't work on scales much larger than the Solar system. One of my interests is developing different models and understanding how they can be proven or disproven with galaxy properties.
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Fast simulations of large scale structure
Current state of the art simulations are able to simulate the distributions of billions of galaxies, but these are very slow and can take weeks to run on the largest supercomputers. I'm interested in new approximate ways for generating these simulations or cool computational techniques such as machine learning, that can be run in a fraction of the time, or on fewer processors.
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New statistical methods for analysing distributions of galaxies
In addition to theoretical developments, I'm interested in looking for new statistical ways to use the galaxy data we have to give us insight into the Universe.
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Gravitational waves
Gravitational waves, first detected in 2015 are the new hot topic in physics and offer interesting ways to test cosmology. I'm interested in creating simulated catalogues of gravitational waves and using these to working out what cosmological insights gravitational waves can bring
Research impacts
What is the Universe actually made of? Everything we can see — every star, planet, and galaxy — makes up only about 5% of it. The rest is dark matter and dark energy: invisible, mysterious, and completely unlike anything we have ever detected in a laboratory. Understanding what they are is arguably the biggest open question in modern science.
My research extracts clues from the way galaxies move and cluster together across scales far beyond our own Milky Way galaxy, where the fingerprints of dark matter and dark energy are imprinted. I work on some of the largest galaxy surveys ever undertaken, and played a central role in recent results from the DESI collaboration that hint dark energy may be changing over time — a finding that, if confirmed, would rewrite textbook cosmology.
Beyond the science itself, the statistical and computing tools my team develops to handle these enormous datasets find applications in other fields, from finance to environmental modelling. And through my research group and teaching at UQ, I help train students in the quantitative skills that are in high demand across science, industry, and government.
History tells us that understanding the fundamental nature of our Universe eventually leads to technologies we can't yet imagine. My hope is that one day, unlocking the secrets of dark matter and dark energy could lead to amazing new technologies that would revolutionise how we live, work and play.
Works
Search Professor Cullan Howlett’s works on UQ eSpace
2023
Journal Article
The DESI survey validation: results from visual inspection of bright galaxies, luminous red galaxies, and emission-line galaxies
Lan, Ting-Wen, Tojeiro, R., Armengaud, E., Prochaska, J. Xavier, Davis, T. M., Alexander, David M., Raichoor, A., Zhou, Rongpu, Yèche, Christophe, Balland, C., BenZvi, S., Berti, A., Canning, R., Carr, A., Chittenden, H., Cole, S., Cousinou, M.-C., Dawson, K., Dey, Biprateep, Douglass, K., Edge, A., Escoffier, S., Glanville, A., A Gontcho, S. Gontcho, Guy, J., Hahn, C., Howlett, C., Hwang, Ho Seong, Jiang, L. ... Zhou, Zhimin (2023). The DESI survey validation: results from visual inspection of bright galaxies, luminous red galaxies, and emission-line galaxies. The Astrophysical Journal, 943 (1) 68, 68. doi: 10.3847/1538-4357/aca5fa
2022
Journal Article
Full-shape galaxy power spectra and the curvature tension
Glanville, Aaron, Howlett, Cullan and Davis, Tamara (2022). Full-shape galaxy power spectra and the curvature tension. Monthly Notices of the Royal Astronomical Society, 517 (2), 3087-3100. doi: 10.1093/mnras/stac2891
2022
Journal Article
Overview of the instrumentation for the Dark Energy Spectroscopic Instrument
Abareshi, B., Aguilar, J., Ahlen, S., Alam, Shadab, Alexander, David M., Alfarsy, R., Allen, L., Prieto, C. Allende, Alves, O., Ameel, J., Armengaud, E., Asorey, J., Aviles, Alejandro, Bailey, S., Balaguera-Antolínez, A., Ballester, O., Baltay, C., Bault, A., Beltran, S. F., Benavides, B., BenZvi, S., Berti, A., Besuner, R., Beutler, Florian, Bianchi, D., Blake, C., Blanc, P., Blum, R., Bolton, A. ... Zu, Y. (2022). Overview of the instrumentation for the Dark Energy Spectroscopic Instrument. The Astronomical Journal, 164 (5) 207, 1-62. doi: 10.3847/1538-3881/ac882b
2022
Journal Article
H i HOD. I. The halo occupation distribution of H i Galaxies
Qin, Fei, Howlett, Cullan, Stevens, Adam R. H. and Parkinson, David (2022). H i HOD. I. The halo occupation distribution of H i Galaxies. The Astrophysical Journal, 937 (2) 113, 1-15. doi: 10.3847/1538-4357/ac8b6f
2022
Journal Article
Using peculiar velocity surveys to constrain neutrino masses
Whitford, Abbé M., Howlett, Cullan and Davis, Tamara M. (2022). Using peculiar velocity surveys to constrain neutrino masses. Monthly Notices of the Royal Astronomical Society, 513 (1), 345-362. doi: 10.1093/mnras/stac783
2022
Journal Article
WALLABY Pilot Survey: Public release of HI kinematic models for more than 100 galaxies from phase 1 of ASKAP pilot observations
Deg, N., Spekkens, K., Westmeier, T., Reynolds, T. N., Venkataraman, P., Goliath, S., Shen, A. X., Halloran, R., Bosma, A., Catinella, B, de Blok, W. J. G., Dénes, H., DiTeodoro, E. M., Elagali, A., For, B.-Q., Howlett, C, Józsa, G. I. G., Kamphuis, P., Kleiner, D., Koribalski, B, Lee-Waddell, K., Lelli, F., Lin, X., Murugeshan, C., Oh, S., Rhee, J., Scott, T. C., Staveley-Smith, L., van der Hulst, J. M. ... Wong, O. I. (2022). WALLABY Pilot Survey: Public release of HI kinematic models for more than 100 galaxies from phase 1 of ASKAP pilot observations. Publications of the Astronomical Society of Australia, 39 e059, 1-17. doi: 10.1017/pasa.2022.43
2022
Journal Article
WALLABY pilot survey: public release of H i data for almost 600 galaxies from phase 1 of ASKAP pilot observations
Westmeier, T., Deg, N., Spekkens, K., Reynolds, T. N., Shen, A. X., Gaudet, S., Goliath, S., Huynh, M. T., Venkataraman, P., Lin, X., O’Beirne, T., Catinella, B., Cortese, L., Dénes, H., Elagali, A., For, B.-Q., Józsa, G. I. G., Howlett, C., van der Hulst, J. M., Jurek, R. J., Kamphuis, P., Kilborn, V. A., Kleiner, D., Koribalski, B. S., Lee-Waddell, K., Murugeshan, C., Rhee, J., Serra, P., Shao, L. ... Said, K. (2022). WALLABY pilot survey: public release of H i data for almost 600 galaxies from phase 1 of ASKAP pilot observations. Publications of the Astronomical Society of Australia, 39 e058. doi: 10.1017/pasa.2022.50
2021
Journal Article
Cosmic flow measurement and mock sampling algorithm of Cosmicflows-4 Tully−Fisher catalog
Qin, Fei, Parkinson, David, Howlett, Cullan and Said, Khaled (2021). Cosmic flow measurement and mock sampling algorithm of Cosmicflows-4 Tully−Fisher catalog. The Astrophysical Journal, 922 (1) 59, 59. doi: 10.3847/1538-4357/ac249d
2021
Journal Article
The effect of systematic redshift biases in BAO cosmology
Glanville, Aaron, Howlett, Cullan and Davis, Tamara M. (2021). The effect of systematic redshift biases in BAO cosmology. Monthly Notices of the Royal Astronomical Society, 503 (3), 3510-3521. doi: 10.1093/mnras/stab657
2021
Journal Article
CosmoBit: A GAMBIT module for computing cosmological observables and likelihoods
Renk, Janina J., Stöcker, Patrick, Bloor, Sanjay, Hotinli, Selim, Balázs, Csaba, Bringmann, Torsten, Gonzalo, Tomás E., Handley, Will, Hoof, Sebastian, Howlett, Cullan, Kahlhoefer, Felix, Scott, Pat, Vincent, Aaron C. and White, Martin (2021). CosmoBit: A GAMBIT module for computing cosmological observables and likelihoods. Journal of Cosmology and Astroparticle Physics, 2021 (2) 022, 022-022. doi: 10.1088/1475-7516/2021/02/022
2020
Journal Article
Constraining the growth rate of structure with phase correlations
Byun, Joyce, Franco, Felipe Oliveira, Howlett, Cullan, Bonvin, Camille and Obreschkow, Danail (2020). Constraining the growth rate of structure with phase correlations. Monthly Notices of the Royal Astronomical Society, 497 (2), 1765-1790. doi: 10.1093/mnras/staa2020
2020
Journal Article
WALLABY – an SKA Pathfinder H I survey
Koribalski, Bärbel S., Staveley-Smith, L., Westmeier, T., Serra, P., Spekkens, K., Wong, O. I., Lee-Waddell, K., Lagos, C. D.P., Obreschkow, D., Ryan-Weber, E. V., Zwaan, M., Kilborn, V., Bekiaris, G., Bekki, K., Bigiel, F., Boselli, A., Bosma, A., Catinella, B., Chauhan, G., Cluver, M. E., Colless, M., Courtois, H. M., Crain, R. A., de Blok, W. J.G., Dénes, H., Duffy, A. R., Elagali, A., Fluke, C. J., For, B. Q. ... Wolf, C. (2020). WALLABY – an SKA Pathfinder H I survey. Astrophysics and Space Science, 365 (7) 118. doi: 10.1007/s10509-020-03831-4
2020
Journal Article
BARRY and the BAO Model Comparison
Hinton, Samuel R., Howlett, Cullan and Davis, Tamara M. (2020). BARRY and the BAO Model Comparison. Monthly Notices of the Royal Astronomical Society, 493 (3), 4078-4093. doi: 10.1093/mnras/staa361
2020
Journal Article
Multiwavelength consensus of large-scale linear bias
Pan, Hengxing, Obreschkow, Danail, Howlett, Cullan, Lagos, Claudia del P., Elahi, Pascal J., Baugh, Carlton and Gonzalez-Perez, Violeta (2020). Multiwavelength consensus of large-scale linear bias. Monthly Notices of the Royal Astronomical Society, 493 (1), 747-764. doi: 10.1093/mnras/staa222
2019
Journal Article
Can redshift errors bias measurements of the Hubble Constant?
Davis, Tamara M., Hinton, Samuel R., Howlett, Cullan and Calcino, Josh (2019). Can redshift errors bias measurements of the Hubble Constant?. Monthly Notices of the Royal Astronomical Society, 490 (2), 2948-2957. doi: 10.1093/mnras/stz2652
2019
Journal Article
The redshift-space momentum power spectrum II: measuring the growth rate from the combined 2MTF and 6dFGSv surveys
Qin, Fei, Howlett, Cullan and Staveley-Smith, Lister (2019). The redshift-space momentum power spectrum II: measuring the growth rate from the combined 2MTF and 6dFGSv surveys. Monthly Notices of the Royal Astronomical Society, 487 (4) stz1576, 5235-5247. doi: 10.1093/mnras/stz1576
2019
Journal Article
The redshift-space momentum power spectrum – I. Optimal estimation from peculiar velocity surveys
Howlett, Cullan (2019). The redshift-space momentum power spectrum – I. Optimal estimation from peculiar velocity surveys. Monthly Notices of the Royal Astronomical Society, 487 (4) stz1403, 5209-5234. doi: 10.1093/mnras/stz1403
2019
Journal Article
2MTF - VII. 2MASS Tully-Fisher survey final data release: distances for 2,062 nearby spiral galaxies
Hong, Tao, Staveley-Smith, Lister, Masters, Karen L, Springob, Christopher M, Macri, Lucas M, Koribalski, Bärbel S, Jones, D Heath, Jarrett, Tom H, Crook, Aidan C, Howlett, Cullan and Qin, Fei (2019). 2MTF - VII. 2MASS Tully-Fisher survey final data release: distances for 2,062 nearby spiral galaxies. Monthly Notices of the Royal Astronomical Society, 487 (2), 2061-2069. doi: 10.1093/mnras/stz1413
2019
Journal Article
Bulk flow and shear in the local Universe: 2MTF and COSMICFLOWS-3
Qin, Fei, Howlett, Cullan, Staveley-Smith, Lister and Hong, Tao (2019). Bulk flow and shear in the local Universe: 2MTF and COSMICFLOWS-3. Monthly Notices of the Royal Astronomical Society, 482 (2), 1920-1930. doi: 10.1093/mnras/sty2826
2018
Journal Article
Bulk flow in the combined 2MTF and 6dFGSv surveys
Qin, Fei, Howlett, Cullan, Staveley-Smith, Lister and Hong, Tao (2018). Bulk flow in the combined 2MTF and 6dFGSv surveys. Monthly Notices of the Royal Astronomical Society, 477 (4), 5150-5166. doi: 10.1093/mnras/sty928
Supervision
Availability
- Dr Cullan Howlett is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
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Mapping the Universe with DESI and 4HS
Maps of the positions of millions of galaxies in our Universe are used to refine our understanding of its components and evolution. However, these experiments have left us with more questions than answers. What is the nature of dark energy and dark matter? Is Einstein’s theory of General Relativity correct on scales beyond our solar system?
Upcoming surveys aim to answer these questions. But understanding how the distributions and motions of galaxies relate to fundamental physics and how to sift through this enormous amount of data to uncover the truth requires improving our analysis techniques and developing new ways to use the data.
Many projects are available under this theme, with different emphasis on mathematical theory, data analysis or computer programming. They could involve improving and speeding up methods for simulating the Universe on supercomputers. Or developing new mathematical models for describing how galaxies cluster and move relative to each other. Or, they could involve using real measurements of positions and velocities of galaxies we are currently obtaining or working towards with surveys such as the Dark Energy Spectroscopic Instrument, WALLABY, or the 4MOST Hemisphere Survey.
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Cosmology with gravitational waves
Gravitational waves are ripples in space-time that propogate away from massive compact objects as they merge, to hopefully, eventually, be detected here on Earth by the LIGO/Virgo gravitational wave detectors. Gravitational waves hold information on some of the most exotic objects in the Universe such as black holes and neutron stars. They can also be used to test cosmological models, particularly because they act as "Standard Sirens" - the gravitational waveform tells us how far away the merging objects are which then can be used to work out how fast the Universe is expanding and how fast it's large scale structures are growing.
This project will look at techniques for extracting Standard Siren measurements from gravitational waves. In particular, developing simulated catalogues of gravitational wave events and then using these simulations to work out how best to extract cosmology from the real data. This project brings together a range of fields, from understanding the details of how black holes and neutron stars are formed, to theoretical modelling of future cosmology studies that might be possible once we have hundreds of gravitational waves.
Supervision history
Current supervision
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Doctor Philosophy
Fundamental Plane distances from the Dark Energy Spectroscopic Instrument
Principal Advisor
Other advisors: Professor Tamara Davis
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Doctor Philosophy
Cosmology with the Dark Energy Spectroscopic Instrument
Principal Advisor
Other advisors: Professor Tamara Davis, Dr Rossana Ruggeri
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Doctor Philosophy
Direct detection of dark matter and exotic physics through atomic systems
Associate Advisor
Other advisors: Associate Professor Jacinda Ginges, Dr Benjamin Roberts
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Doctor Philosophy
Gravitational wave cosmology
Associate Advisor
Other advisors: Professor Tamara Davis
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Doctor Philosophy
Cosmology with the Dark Energy Survey
Associate Advisor
Other advisors: Professor Tamara Davis
Completed supervision
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2025
Doctor Philosophy
Using the motions of galaxies to probe fundamental physics
Principal Advisor
Other advisors: Professor Tamara Davis
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2025
Doctor Philosophy
Completing the Puzzle: Unveiling Clues for Gravitational Wave Astrophysics and Cosmology with Simulations
Principal Advisor
Other advisors: Professor Tamara Davis
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2023
Doctor Philosophy
Whispers from the Big Bang-Cosmological Constraints from Galaxy Power Spectra
Principal Advisor
Other advisors: Professor Tamara Davis
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2026
Doctor Philosophy
Cosmological constraints with large-scale structure: from LambdaCDM to light relics
Associate Advisor
Other advisors: Professor Tamara Davis
Media
Enquiries
Contact Dr Cullan Howlett directly for media enquiries about:
- Astronomy
- Astrophysics
- Cosmology
- Dark energy
- Dark matter
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