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Faculty of Mathematics

 

Career

  • 2022-: Course Director for the MPhil in Data Intensive Science
  • 2022-: Director of the Centre for Doctoral Training in Data Intensive Science
  • 2017-: Deputy Director of the Centre for Doctoral Training in Data Intensive Science
  • 2015-: Centre for Theorertical Cosmology Lecturer, University of Cambridge
  • 2009-2014: Research associate, University of Cambridge
  • 2005-2008: PhD student, University of Cambridge

Research

James is a member of the Department of Applied Mathematics and Theoretical Physics GR research group. His current research interests are primordial non-Gaussianity and the bispectrum of the CMB and Large Scale Structure. James looks after the Centre for Doctoral Training in Data Intensive Science and the MPhil in Data Intensive Science. The Cambridge CDT in Data Intensive Science is an innovative, interdisciplinary centre, distributed between the Department of Physics (Cavendish Laboratory), Department of Applied Mathematics and Theoretical Physics (DAMTP), Department of Pure Mathematics and Mathematical Statistics (DPMMS) and the Institute of Astronomy (IoA).  The MPhil in Data Intensive Science is an innovative new masters programme which provides cutting edge training in statistical analysis, machine learning and research computing and their application to scientific analysis.

Publications

CMB bispectrum constraints on DHOST inflation
W Sohn, A Lazanu, P Brax, JR Fergusson
– Journal of Cosmology and Astroparticle Physics
(2024)
2024,
071
Projected two- and three-point statistics: forecasts and mitigation of non-linear RSDs
O Leicht, T Baldauf, J Fergusson, P Shellard
– Monthly Notices of the Royal Astronomical Society
(2021)
503,
2137
Planck 2018 results
Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, J Carron et al.
– Astronomy & Astrophysics
(2020)
641,
a10
Planck2018 results
P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese et al.
– Astronomy & Astrophysics
(2020)
641,
a6
Planck 2018 results: IX. Constraints on primordial non-Gaussianity
Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, A Challinor, HC Chiang et al.
– Astronomy and Astrophysics
(2020)
641,
ARTN A9
Planck 2018 results. I. Overview and the cosmological legacy of Planck
P Collaboration, Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese et al.
– Astronomy & Astrophysics
(2020)
641,
a1
CMB-S4 forecast on the primordial non-Gaussianity parameter of feature models
W Sohn, JR Fergusson
– Physical Review D
(2019)
100,
063536
General modal estimation for cross-bispectra
M Shiraishi, M Liguori, JR Fergusson, EPS Shellard
– Journal of Cosmology and Astroparticle Physics
(2019)
2019,
046
Planck 2018 results. VI. Cosmological parameters
C Planck, J Fergusson
(2019)
Advancing the matter bispectrum estimation of large-scale structure: a comparison of dark matter codes
J Hung, JR Fergusson, EPS Shellard
(2019)
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Research Group

Relativity and Gravitation

Room

B1.12

Telephone

01223 765247