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Dr Cullan Howlett
Dr

Cullan Howlett

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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

152 works between 2012 and 2026

101 - 120 of 152 works

2024

Journal Article

Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey

Lamman, Claire, Eisenstein, Daniel, Forero-Romero, Jaime E., Aguilar, Jessica Nicole, Ahlen, Steven, Bailey, Stephen, Bianchi, Davide, Brooks, David, Claybaugh, Todd, de la Macorra, Axel, Doel, Peter, Ferraro, Simone, Font-Ribera, Andreu, Gaztañaga, Enrique, Gontcho, Satya Gontcho A., Gutierrez, Gaston, Honscheid, Klaus, Howlett, Cullan, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Le Guillou, Laurent, Levi, Michael E., Meisner, Aaron, Miquel, Ramon, Moustakas, John, Newman, Jeffrey A., Niz, Gustavo, Prada, Francisco ... Zou, Hu (2024). Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey. Monthly Notices of the Royal Astronomical Society, 534 (4), 3540-3551. doi: 10.1093/mnras/stae2290

Detection of the large-scale tidal field with galaxy multiplet alignment in the DESI Y1 spectroscopic survey

2024

Journal Article

DESI 2024: reconstructing dark energy using crossing statistics with DESI DR1 BAO data

Calderon, R., Lodha, K., Shafieloo, A., Linder, E., Sohn, W., de Mattia, A., Cervantes-Cota, J.L., Crittenden, R., Davis, T.M., Ishak, M., Kim, A.G., Matthewson, W., Niz, G., Park, S., Aguilar, J., Ahlen, S., Allen, S., Brooks, D., Claybaugh, T., de la Macorra, A., Dey, A., Dey, B., Doel, P., Forero-Romero, J.E., Gaztañaga, E., Gontcho, S.Gontcho A., Honscheid, K., Howlett, C., Juneau, S. ... Zou, H. (2024). DESI 2024: reconstructing dark energy using crossing statistics with DESI DR1 BAO data. Journal of Cosmology and Astroparticle Physics, 2024 (10) 048, 1-28. doi: 10.1088/1475-7516/2024/10/048

DESI 2024: reconstructing dark energy using crossing statistics with DESI DR1 BAO data

2024

Journal Article

A trifecta of modelling tools: a Bayesian binary black hole model selection combining population synthesis and galaxy formation models

Rauf, Liana, Howlett, Cullan, Stevenson, Simon, Riley, Jeff and Willcox, Reinhold (2024). A trifecta of modelling tools: a Bayesian binary black hole model selection combining population synthesis and galaxy formation models. Monthly Notices of the Royal Astronomical Society, 534 (4), 3506-3539. doi: 10.1093/mnras/stae2288

A trifecta of modelling tools: a Bayesian binary black hole model selection combining population synthesis and galaxy formation models

2024

Journal Article

Catalog-level blinding on the bispectrum for DESI-like galaxy surveys

Novell-Masot, Sergi, Gil-Marin, Hector, Verde, Licia, Aguilar, J., Ahlen, S., Brieden, S., Brooks, D., Claybaugh, T., de la Macorra, A., Forero-Romero, J. E., Gaztañaga, E., Gontcho, S.Gontcho A., Gutierrez, G., Honscheid, K., Howlett, C., Kehoe, R., Kisner, T., Lambert, A., Levi, M. E., Manera, M., Meisner, A., Miquel, R., Niz, G., Prada, F., Rossi, G., Sanchez, E., Schubnell, M., Seo, H., Sprayberry, D. ... Weaver, B. A. (2024). Catalog-level blinding on the bispectrum for DESI-like galaxy surveys. Journal of Cosmology and Astroparticle Physics, 2024 (10) 089, 1-24. doi: 10.1088/1475-7516/2024/10/089

Catalog-level blinding on the bispectrum for DESI-like galaxy surveys

2024

Journal Article

Illuminating the dark side of the Universe using galaxy surveys

Howlett, Cullan (2024). Illuminating the dark side of the Universe using galaxy surveys. Australian Physics, 61 (4), 9-12.

Illuminating the dark side of the Universe using galaxy surveys

2024

Journal Article

Baryon acoustic oscillation theory and modelling systematics for the DESI 2024 results

Chen, Shi-Fan, Howlett, Cullan, White, Martin, McDonald, Patrick, Ross, Ashley J, Seo, Hee-Jong, Padmanabhan, Nikhil, Aguilar, J, Ahlen, S, Alam, S, Alves, O, Andrade, U, Blum, R, Brooks, D, Chen, X, Cole, S, Dawson, K, de la Macorra, A, Dey, Arjun, Ding, Z, Doel, P, Ferraro, S, Font-Ribera, A, Forero-Sánchez, D, Forero-Romero, J E, Garcia-Quintero, C, Gaztañaga, E, Gontcho, S Gontcho A, Hanif, M M S ... Zhou, Z (2024). Baryon acoustic oscillation theory and modelling systematics for the DESI 2024 results. Monthly Notices of the Royal Astronomical Society, 534 (1), 544-574. doi: 10.1093/mnras/stae2090

Baryon acoustic oscillation theory and modelling systematics for the DESI 2024 results

2024

Conference Publication

SIRMOS: NIR spectroscopy of 131,000,000 galaxies over 1 < z < 4 and R~1300

Content, Robert, Wang, Yun, Robberto, Massimo, Armus, Lee, Beutler, Florian, Bolzonella, Micol, Brieden, Samuel, Brinchmann, Jarle, Daddi, Emanuele, Dickinson, Mark, Faisst, Andreas, Hillenbrand, Lynne, Howlett, Cullan, Kartaltepe, Jeyhan, Koeppe, Dana, Lawrence, Jonathan S., Mei, Simona, Mueller, Eva-Maria, Nadathur, Seshadri, Ninkov, Zoran, Osato, Ken, Papovich, Casey, Percival, Will, Piotrowski, John, Pozzetti, Lucia, Raccanelli, Alvise, Rhodes, Jason D., Saito, Shun, Smee, Stephen A. ... Zemcov, Michael B. (2024). SIRMOS: NIR spectroscopy of 131,000,000 galaxies over 1 < z < 4 and R~1300. Conference on Space Telescopes and Instrumentation - Optical, Infrared, and Millimeter Wave, Yokohama, Japan, 16-22 June 2024. Bellingham, WA, United States: International Society for Optical Engineering. doi: 10.1117/12.3017865

SIRMOS: NIR spectroscopy of 131,000,000 galaxies over 1 < z < 4 and R~1300

2024

Journal Article

Archetype-based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey

Anand, Abhijeet, Guy, Julien, Bailey, Stephen, Moustakas, John, Aguilar, J., Ahlen, S., Bolton, A. S., Brodzeller, A., Brooks, D., Claybaugh, T., Cole, S., de la Macorra, A., Dey, Biprateep, Fanning, K., Forero-Romero, J. E., Gaztañaga, E., A Gontcho, S. Gontcho, Gutierrez, G., Honscheid, K., Howlett, C., Juneau, S., Kirkby, D., Kisner, T., Kremin, A., Lambert, A., Landriau, M., Le Guillou, L., Manera, M., Meisner, A. ... Zou, H. (2024). Archetype-based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey. The Astronomical Journal, 168 (3) 124, 124. doi: 10.3847/1538-3881/ad60c2

Archetype-based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey

2024

Journal Article

Galaxy and Mass Assembly (GAMA): stellar-to-dynamical mass relation. II. peculiar velocities

Dogruel, M. Burak, Taylor, Edward N., Cluver, Michelle, Colless, Matthew, de Graaff, Anna, Sonnenfeld, Alessandro, Lucey, John R., D’Eugenio, Francesco, Howlett, Cullan and Said, Khaled (2024). Galaxy and Mass Assembly (GAMA): stellar-to-dynamical mass relation. II. peculiar velocities. The Astrophysical Journal, 970 (2) 149. doi: 10.3847/1538-4357/ad4ce2

Galaxy and Mass Assembly (GAMA): stellar-to-dynamical mass relation. II. peculiar velocities

2024

Journal Article

The early data release of the dark energy spectroscopic instrument

DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Aldering, G., Alexander, D. M., Alfarsy, R., Prieto, C. Allende, Alvarez, M., Alves, O., Anand, A., Andrade-Oliveira, F., Armengaud, E., Asorey, J., Avila, S., Aviles, A., Bailey, S., Balaguera-Antolínez, A., Ballester, O., Baltay, C., Bault, A., Bautista, J., Behera, J., Beltran, S. F., BenZvi, S., Beraldo e Silva, L., Bermejo-Climent, J. R., Berti, A. ... Zu, Y. (2024). The early data release of the dark energy spectroscopic instrument. The Astronomical Journal, 168 (2) 58, 1-33. doi: 10.3847/1538-3881/ad3217

The early data release of the dark energy spectroscopic instrument

2024

Journal Article

Faster cosmological analysis with power spectrum without simulations

Lai, Yan, Howlett, Cullan and Davis, Tamara M (2024). Faster cosmological analysis with power spectrum without simulations. Monthly Notices of the Royal Astronomical Society, 530 (4), 4519-4530. doi: 10.1093/mnras/stae1134

Faster cosmological analysis with power spectrum without simulations

2024

Journal Article

Validation of the scientific program for the Dark Energy Spectroscopic Instrument

DESI Collaboration, Adame, A. G., Aguilar, J., Ahlen, S., Alam, S., Aldering, G., Alexander, D. M., Alfarsy, R., Allende Prieto, C., Alvarez, M., Alves, O., Anand, A., Andrade-Oliveira, F., Armengaud, E., Asorey, J., Avila, S., Aviles, A., Bailey, S., Balaguera-Antolínez, A., Ballester, O., Baltay, C., Bault, A., Bautista, J., Behera, J., Beltran, S. F., BenZvi, S., Beraldo e Silva, L., Bermejo-Climent, J. R., Berti, A. ... Zu, Y. (2024). Validation of the scientific program for the Dark Energy Spectroscopic Instrument. The Astronomical Journal, 167 (2) 62. doi: 10.3847/1538-3881/ad0b08

Validation of the scientific program for the Dark Energy Spectroscopic Instrument

2024

Journal Article

An effective description of Laniakea: impact on cosmology and the local determination of the Hubble constant

Giani, Leonardo, Howlett, Cullan, Said, Khaled, Davis, Tamara and Vagnozzi, Sunny (2024). An effective description of Laniakea: impact on cosmology and the local determination of the Hubble constant. Journal of Cosmology and Astroparticle Physics, 2024 (1) 071. doi: 10.1088/1475-7516/2024/01/071

An effective description of Laniakea: impact on cosmology and the local determination of the Hubble constant

2023

Journal Article

Evaluating bulk flow estimators for CosmicFlows–4 measurements

Whitford, Abbé M., Howlett, Cullan and Davis, Tamara M. (2023). Evaluating bulk flow estimators for CosmicFlows–4 measurements. Monthly Notices of the Royal Astronomical Society, 526 (2), 3051-3071. doi: 10.1093/mnras/stad2764

Evaluating bulk flow estimators for CosmicFlows–4 measurements

2023

Journal Article

The galaxy number density profile of Halos

Qin, Fei, Parkinson, David, Stevens, Adam R. H. and Howlett, Cullan (2023). The galaxy number density profile of Halos. The Astrophysical Journal, 957 (1) 40, 1-11. doi: 10.3847/1538-4357/acfda5

The galaxy number density profile of Halos

2023

Journal Article

Can Einstein (rings) surf Gravitational Waves?

Giani, Leonardo, Howlett, Cullan and Davis, Tamara M. (2023). Can Einstein (rings) surf Gravitational Waves?. The Open Journal of Astrophysics, 6, 1-10. doi: 10.21105/astro.2302.10472

Can Einstein (rings) surf Gravitational Waves?

2023

Journal Article

Target selection for the DESI peculiar velocity survey

Saulder, Christoph, Howlett, Cullan, Douglass, Kelly A, Said, Khaled, BenZvi, Segev, Ahlen, Steven, Aldering, Greg, Bailey, Stephen, Brooks, David, Davis, Tamara M, de la Macorra, Axel, Dey, Arjun, Font-Ribera, Andreu, Forero-Romero, Jaime E, Gontcho, Satya Gontcho A, Honscheid, Klaus, Kim, Alex G, Kisner, Theodore, Kremin, Anthony, Landriau, Martin, Levi, Michael E, Lucey, John, Meisner, Aaron M, Miquel, Ramon, Moustakas, John, Myers, Adam D, Palanque-Delabrouille, Nathalie, Percival, Will, Poppett, Claire ... Zou, Hu (2023). Target selection for the DESI peculiar velocity survey. Monthly Notices of the Royal Astronomical Society, 525 (1), 1106-1125. doi: 10.1093/mnras/stad2200

Target selection for the DESI peculiar velocity survey

2023

Journal Article

Cross-correlating radial peculiar velocities and CMB lensing convergence

Giani, Leonardo, Howlett, Cullan, Ruggeri, Rossana, Bianchini, Federico, Said, Khaled and M. Davis, Tamara (2023). Cross-correlating radial peculiar velocities and CMB lensing convergence. Journal of Cosmology and Astroparticle Physics, 2023 (05) 002, 002. doi: 10.1088/1475-7516/2023/05/002

Cross-correlating radial peculiar velocities and CMB lensing convergence

2023

Journal Article

WALLABY pre-pilot and pilot survey: the Tully Fisher relation in Eridanus, Hydra, Norma and NGC4636 fields

Courtois, Hélène M, Said, Khaled, Mould, Jeremy, Jarrett, T H, Pomarède, Daniel, Westmeier, Tobias, Staveley-Smith, Lister, Dupuy, Alexandra, Hong, Tao, Guinet, Daniel, Howlett, Cullan, Deg, Nathan, For, Bi-Qing, Kleiner, Dane, Koribalski, Bärbel, Lee-Waddell, Karen, Rhee, Jonghwan, Spekkens, Kristine, Wang, Jing, Wong, O I, Bigiel, Frank, Bosma, Albert, Colless, Matthew, Davis, Tamara, Holwerda, Benne, Karachentsev, Igor, Kraan-Korteweg, Renée C, McQuinn, Kristen B W, Meurer, Gerhardt ... Taylor, Edward (2023). WALLABY pre-pilot and pilot survey: the Tully Fisher relation in Eridanus, Hydra, Norma and NGC4636 fields. Monthly Notices of the Royal Astronomical Society, 519 (3), 4589-4607. doi: 10.1093/mnras/stac3246

WALLABY pre-pilot and pilot survey: the Tully Fisher relation in Eridanus, Hydra, Norma and NGC4636 fields

2023

Journal Article

Cosmicflows-4

Tully, R. Brent, Kourkchi, Ehsan, Courtois, Hélène M., Anand, Gagandeep S., Blakeslee, John P., Brout, Dillon, Jaeger, Thomas de, Dupuy, Alexandra, Guinet, Daniel, Howlett, Cullan, Jensen, Joseph B., Pomarède, Daniel, Rizzi, Luca, Rubin, David, Said, Khaled, Scolnic, Daniel and Stahl, Benjamin E. (2023). Cosmicflows-4. The Astrophysical Journal, 944 (1) 94, 1-31. doi: 10.3847/1538-4357/ac94d8

Cosmicflows-4

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

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