Skip to menu Skip to content Skip to footer
Dr Cullan Howlett
Dr

Cullan Howlett

Email: 
Mobile: 
0420776717

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

Qualifications

  • Doctor of Philosophy, University of Portsmouth

Research interests

  • 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.

  • 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.

  • 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.

  • 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

149 works between 2012 and 2026

1 - 20 of 149 works

2023

Journal Article

Ho’oleilana: an individual baryon acoustic oscillation?

Tully, R. Brent, Howlett, Cullan and Pomarède, Daniel (2023). Ho’oleilana: an individual baryon acoustic oscillation?. Astrophysical Journal, 954 (2) 169, 1-14. doi: 10.3847/1538-4357/aceaf3

Ho’oleilana: an individual baryon acoustic oscillation?

Featured

2023

Journal Article

Exploring binary black hole mergers and host galaxies with Shark and COMPAS

Rauf, Liana, Howlett, Cullan, Davis, Tamara M. and Lagos, Claudia D. P. (2023). Exploring binary black hole mergers and host galaxies with Shark and COMPAS. Monthly Notices of the Royal Astronomical Society, 523 (4), 5719-5737. doi: 10.1093/mnras/stad1757

Exploring binary black hole mergers and host galaxies with Shark and COMPAS

Featured

2023

Journal Article

Using peculiar velocity surveys to constrain the growth rate of structure with the wide-angle effect

Lai, Yan, Howlett, Cullan and Davis, Tamara M. (2023). Using peculiar velocity surveys to constrain the growth rate of structure with the wide-angle effect. Monthly Notices of the Royal Astronomical Society, 518 (2), 1840-1858. doi: 10.1093/mnras/stac3252

Using peculiar velocity surveys to constrain the growth rate of structure with the wide-angle effect

Featured

2022

Journal Article

The Sloan Digital Sky Survey peculiar velocity catalogue

Howlett, Cullan, Said, Khaled, Lucey, John R., Colless, Matthew, Qin, Fei, Lai, Yan, Tully, R. Brent and Davis, Tamara M. (2022). The Sloan Digital Sky Survey peculiar velocity catalogue. Monthly Notices of the Royal Astronomical Society, 515 (1), 953-976. doi: 10.1093/mnras/stac1681

The Sloan Digital Sky Survey peculiar velocity catalogue

Featured

2021

Journal Article

Strengthening the bound on the mass of the lightest neutrino with terrestrial and cosmological experiments

Stöcker, Patrick, Balázs, Csaba, Bloor, Sanjay, Bringmann, Torsten, Gonzalo, Tomás E., Handley, Will, Hotinli, Selim, Howlett, Cullan, Kahlhoefer, Felix, Renk, Janina J., Scott, Pat, Vincent, Aaron C., White, Martin and The GAMBIT Cosmology Workgroup (2021). Strengthening the bound on the mass of the lightest neutrino with terrestrial and cosmological experiments. Physical Review D, 103 (12) 123508. doi: 10.1103/physrevd.103.123508

Strengthening the bound on the mass of the lightest neutrino with terrestrial and cosmological experiments

Featured

2020

Journal Article

Standard siren speeds: improving velocities in gravitational-wave measurements of H0

Howlett, Cullan and Davis, Tamara M. (2020). Standard siren speeds: improving velocities in gravitational-wave measurements of H0. Monthly Notices of the Royal Astronomical Society, 492 (3), 3803-3815. doi: 10.1093/mnras/staa049

Standard siren speeds: improving velocities in gravitational-wave measurements of H0

Featured

2017

Journal Article

Measuring the growth rate of structure with type IA supernovae from LSST

Howlett, Cullan, Robotham, Aaron S. G., Lagos, Claudia D. P. and Kim, Alex G. (2017). Measuring the growth rate of structure with type IA supernovae from LSST. Astrophysical Journal, 847 (2) aa88c8, 128. doi: 10.3847/1538-4357/aa88c8

Measuring the growth rate of structure with type IA supernovae from LSST

Featured

2017

Journal Article

Cosmological forecasts for combined and next-generation peculiar velocity surveys

Howlett, Cullan, Staveley-Smith, Lister and Blake, Chris (2017). Cosmological forecasts for combined and next-generation peculiar velocity surveys. Monthly Notices of the Royal Astronomical Society, 464 (3), 2517-2544. doi: 10.1093/mnras/stw2466

Cosmological forecasts for combined and next-generation peculiar velocity surveys

Featured

2015

Journal Article

L-PICOLA: a parallel code for fast dark matter simulation

Howlett, C., Manera, M. and Percival, W. J. (2015). L-PICOLA: a parallel code for fast dark matter simulation. Astronomy and Computing, 12, 109-126. doi: 10.1016/j.ascom.2015.07.003

L-PICOLA: a parallel code for fast dark matter simulation

Featured

2015

Journal Article

The clustering of the SDSS DR7 main Galaxy sample - I. A 4 per cent distance measure at z=0.15

Ross, Ashley J., Samushia, Lado, Howlett, Cullan, Percival, Will J., Burden, Angela and Manera, Marc (2015). The clustering of the SDSS DR7 main Galaxy sample - I. A 4 per cent distance measure at z=0.15. Monthly Notices of the Royal Astronomical Society, 449 (1), 835-847. doi: 10.1093/mnras/stv154

The clustering of the SDSS DR7 main Galaxy sample - I. A 4 per cent distance measure at z=0.15

2015

Journal Article

The clustering of the SDSS main galaxy sample - II. Mock galaxy catalogues and a measurement of the growth of structure from redshift space distortions at z=0.15

Howlett, Cullan, Ross, Ashley J., Samushia, Lado, Percival, Will J. and Manera, Marc (2015). The clustering of the SDSS main galaxy sample - II. Mock galaxy catalogues and a measurement of the growth of structure from redshift space distortions at z=0.15. Monthly Notices of the Royal Astronomical Society, 449 (1), 848-866. doi: 10.1093/mnras/stu2693

The clustering of the SDSS main galaxy sample - II. Mock galaxy catalogues and a measurement of the growth of structure from redshift space distortions at z=0.15

Featured

2014

Journal Article

The clustering of galaxies in the SDSS-III baryon oscillation spectroscopic survey: Baryon acoustic oscillations in the data releases 10 and 11 galaxy samples

Anderson, Lauren, Aubourg, Élric, Bailey, Stephen, Beutler, Florian, Bhardwaj, Vaishali, Blanton, Michael, Bolton, Adam S., Brinkmann, J., Brownstein, Joel R., Burden, Angela, Chuang, Chia-Hsun, Cuesta, Antonio J., Dawson, Kyle S., Eisenstein, Daniel J., Escoffier, Stephanie, Gunn, James E., Guo, Hong, Ho, Shirley, Honscheid, Klaus, Howlett, Cullan, Kirkby, David, Lupton, Robert H., Manera, Marc, Maraston, Claudia, McBride, Cameron K., Mena, Olga, Montesano, Francesco, Nichol, Robert C., Nuza, Sebastián E. ... Zhao, Gong-Bo (2014). The clustering of galaxies in the SDSS-III baryon oscillation spectroscopic survey: Baryon acoustic oscillations in the data releases 10 and 11 galaxy samples. Monthly Notices of the Royal Astronomical Society, 441 (1), 24-62. doi: 10.1093/mnras/stu523

The clustering of galaxies in the SDSS-III baryon oscillation spectroscopic survey: Baryon acoustic oscillations in the data releases 10 and 11 galaxy samples

2012

Journal Article

CMB power spectrum parameter degeneracies in the era of precision cosmology

Howlett, Cullan, Lewis, Antony, Hall, Alex and Challinor, Anthony (2012). CMB power spectrum parameter degeneracies in the era of precision cosmology. Journal of Cosmology and Astroparticle Physics, 2012 (4) 027, 027-027. doi: 10.1088/1475-7516/2012/04/027

CMB power spectrum parameter degeneracies in the era of precision cosmology

2026

Journal Article

Probing the Environment around GW170817 with DESI: Insights on Galaxy Group Peculiar Velocities for Standard Siren Measurements

Amsellem, A. J., Palmese, A., Douglass, K., Howlett, C., Karp, J. S. M., Magaña Hernandez, I., Moustakas, J., Wechsler, R. H., Aguilar, J., Ahlen, S., BenZvi, S., Bianchi, D., Brooks, D., Carr, A., Claybaugh, T., Cuceu, A., Davis, T. M., de la Macorra, A., Dey, A., Dey, B., Doel, P., Font-Ribera, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho A Gontcho, S., Gutierrez, G., Honscheid, K., Ishak, M., Joyce, R. ... THE DESI COLLABORATION (2026). Probing the Environment around GW170817 with DESI: Insights on Galaxy Group Peculiar Velocities for Standard Siren Measurements. The Astrophysical Journal, 1001 (2) 157, 157-2. doi: 10.3847/1538-4357/ae4b37

Probing the Environment around GW170817 with DESI: Insights on Galaxy Group Peculiar Velocities for Standard Siren Measurements

2026

Journal Article

Data Release 1 of the Dark Energy Spectroscopic Instrument

DESI Collaboration, Abdul Karim, M., Adame, A. G., Aguado, D., Aguilar, J., Ahlen, S., Alam, S., Aldering, G., Alexander, D. M., Alfarsy, R., Allen, L., Allende Prieto, C., Alves, O., Anand, A., Andrade, U., Armengaud, E., Avila, S., Aviles, A., Awan, H., Bailey, S., Baleato Lizancos, A., Ballester, O., Bault, A., Bautista, J., Bean, R., Behera, J., BenZvi, S., Beraldo e Silva, L., Bermejo-Climent, J. R. ... Zu, Y. (2026). Data Release 1 of the Dark Energy Spectroscopic Instrument. The Astronomical Journal, 171 (5), 285. doi: 10.3847/1538-3881/ae4c43

Data Release 1 of the Dark Energy Spectroscopic Instrument

2026

Journal Article

DESI EDR: Calibrating the Tully–Fisher Relationship with the DESI Peculiar Velocity Survey

Douglass, K., BenZvi, S., Uberoi, N., Howlett, C., Saulder, C., Said, K., Demina, R., Aguilar, J., Ahlen, S., Aldering, G., Bianchi, D., Brooks, D., Claybaugh, T., Cuceu, A., Davis, T. M., Dawson, K. S., de la Macorra, A., Font-Ribera, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho A Gontcho, S., Gutierrez, G., Hahn, C., Honscheid, K., Ishak, M., Joyce, R., Kisner, T., Kremin, A., Landriau, M. ... Zou, H. (2026). DESI EDR: Calibrating the Tully–Fisher Relationship with the DESI Peculiar Velocity Survey. The Astrophysical Journal, 1001 (1) 20, 20-1. doi: 10.3847/1538-4357/ae517b

DESI EDR: Calibrating the Tully–Fisher Relationship with the DESI Peculiar Velocity Survey

2026

Journal Article

<i>H</i> <sub>0</sub> without the sound horizon (or supernovae): A 2% measurement in DESI DR1

Zaborowski, E.A., Taylor, P., Honscheid, K., Cuceu, A., de Mattia, A., Krolewski, A., Rashkovetskyi, M., Ross, A.J., To, C., Aguilar, J., Ahlen, S., Anand, A., BenZvi, S., Bianchi, D., Brooks, D., Castander, F.J., Claybaugh, T., de la Macorra, A., Della Costa, J., Doel, P., Ferraro, S., Font-Ribera, A., Forero-Romero, J.E., Gaztañaga, E., Gutierrez, G., Herrera-Alcantar, H.K., Howlett, C., Huterer, D., Ishak, M. ... Zou, H. (2026). H 0 without the sound horizon (or supernovae): A 2% measurement in DESI DR1. Journal of Cosmology and Astroparticle Physics, 2026 (04) 004, 004. doi: 10.1088/1475-7516/2026/04/004

<i>H</i> <sub>0</sub> without the sound horizon (or supernovae): A 2% measurement in DESI DR1

2026

Journal Article

The DESI DR1 peculiar velocity survey: growth rate measurements from the maximum likelihood fields method

Lai, Y., Howlett, C., Aguilar, J., Ahlen, S., Amsellem, A.J., Bautista, J., BenZvi, S., Bianchi, D., Blake, C., Brooks, D., Carr, A., Claybaugh, T., Davis, T.M., de la Macorra, A., Doel, P., Douglass, K., Ferraro, S., Font-Ribera, A., Forero-Romero, J.E., Gaztañaga, E., Gutierrez, G., Guy, J., Herrera-Alcantar, H.K., Huterer, D., Ishak, M., Joyce, R., Kim, A., Kirkby, D., Kisner, T. ... Zou, H. (2026). The DESI DR1 peculiar velocity survey: growth rate measurements from the maximum likelihood fields method. Journal of Cosmology and Astroparticle Physics, 2026 (04) 026, 026. doi: 10.1088/1475-7516/2026/04/026

The DESI DR1 peculiar velocity survey: growth rate measurements from the maximum likelihood fields method

2026

Journal Article

Combined tracer analysis for DESI 2024 BAO

Valcin, D., Rashkovetskyi, M., Seo, H., Beutler, F., McDonald, P., de Mattia, A., Rosado-Marín, A.J., Ross, A.J., Padmanabhan, N., Aguilar, J., Ahlen, S., Andrade, U., Bianchi, D., Brooks, D., Chaussidon, E., Chen, S., Chen, X., Claybaugh, T., Cuceu, A., Dawson, K.S., de la Macorra, A., Dey, Biprateep, Ding, Z., Doel, P., Ferraro, S., Font-Ribera, A., Forero-Romero, J.E., Gaztañaga, E., Gontcho A Gontcho, S. ... Zou, H. (2026). Combined tracer analysis for DESI 2024 BAO. Journal of Cosmology and Astroparticle Physics, 2026 (04), 058. doi: 10.1088/1475-7516/2026/04/058

Combined tracer analysis for DESI 2024 BAO

2026

Journal Article

The DESI DR1 peculiar velocity survey: Growth rate measurements from the galaxy power spectrum

Qin, F., Blake, C., Howlett, C., Turner, R. J., Lodha, K., Bautista, J., Lai, Y., Amsellem, A. J., Aguilar, J., Ahlen, S., Bianchi, D., Brooks, D., BenZvi, S., Carr, A., Chaussidon, E., Claybaugh, T., Cuceu, A., de la Macorra, A., Douglass, K., Doel, P., Ferraro, S., Font-Ribera, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho A Gontcho, S., Gutierrez, G., Guy, J., Herrera-Alcantar, H. K., Honscheid, K. ... Zou, H. (2026). The DESI DR1 peculiar velocity survey: Growth rate measurements from the galaxy power spectrum. Astronomy & Astrophysics, 708 A219, A219-708. doi: 10.1051/0004-6361/202558368

The DESI DR1 peculiar velocity survey: Growth rate measurements from the galaxy power spectrum

Funding

Current funding

  • 2025 - 2028
    Cosmic Cartography to Counter Cosmic Conundrums
    ARC Discovery Projects
    Open grant

Past funding

  • 2022 - 2025
    A Space Odyssey: Exploring the Universe with Gravitational-Wave Sirens
    ARC Discovery Projects
    Open grant

Supervision

Availability

Dr Cullan Howlett is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • 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.

  • 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

Completed supervision

Media

Enquiries

Contact Dr Cullan Howlett directly for media enquiries about:

  • Astronomy
  • Astrophysics
  • Cosmology
  • Dark energy
  • Dark matter

Need help?

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

communications@uq.edu.au