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Will Handley's academic talks

Academic talks

  1. Bayesian Techniques for GNSS-R
  2. Classical inference at scale: dark energy, tensions, and the GPU revolution
  3. The New Scientific Method
  4. Two Revolutions: GPUs for Science, AI for Scientists
  5. AI/ML Tools for Research
    • GAMBIT LLMBit Workshop, Oslo
    • PDF
    • source
    • Dec 2025
  6. GPU Accelerated Bayesian Inference for Astronomy
    • Talk given at University of Birmingham
    • PDF
    • source
    • Oct 2025
  7. GPU Accelerated Nested Sampling for 21-cm Cosmology
  8. Next-Generation Model Comparison for Primordial Cosmology
  9. AI/ML Tools for Research
  10. A Statistician's Guide to the Galaxy (Fitting Zoo)
  11. GPU Accelerated Nested Sampling
  12. lsbi: linear simulation based inference
  13. GPU-native nested sampling in BlackJAX: For simulation-based inference at scale
  14. Scanning for cosmological tensions across a DiRAC-enabled grid of models, datasets and samplers
  15. Cosmological tensions? A guide for high energy theorists
    • Talk given to DAMTP HEP group Cambridge
    • PDF
    • source
    • Jan 2025
  16. Theory meets experiment 2025: New frontiers in particle cosmology
  17. Next-generation statistical inference tools: Simulation-based inference, marginal statistics & accelerated nested sampling
  18. PolySwyft: a sequential simulation-based nested sampler
  19. lsbi: linear simulation based inference
  20. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  21. Sampling methods for high energy physics & particle astrophysics
  22. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  23. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  24. PolySwyft: a sequential simulation-based nested sampler
  25. The scaling frontier of nested sampling
  26. Resonant or asymmetric: The status of sub-GeV dark matter
  27. Next generation astrophysical inference across the interdisciplinary frontier
    • remote job talk given to UCL
    • PDF
    • source
    • May 2024
  28. PolySwyft: a sequential simulation-based nested sampler
  29. Next generation astrophysical inference across the interdisciplinary frontier
    • Job Talk given at the Institute of Astronomy, Cambridge
    • PDF
    • source
    • April 2024
  30. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  31. Sampling techniques in high-dimensional parameter spaces with ScannerBit 2.0
  32. Next-generation inference tools for cosmology and beyond
    • Talk given at Oxford cosmology seminar
    • PDF
    • source
    • Jan 2024
  33. Simulation Based Inference: theory, sampling & model comparison
    • Talk given at RAS SBI workshop
    • PDF
    • source
    • Jan 2024
  34. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  35. unimpeded: Universal model comparison and parameter estimation distributed over every dataset
  36. Cosmological inference tools: marginal statistics and fully Bayesian forecasts.
  37. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  38. Nested sampling tools
  39. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  40. Nested sampling: powering next-generation inference and machine learning tools for cosmology, particle physics and beyond
    • King's college, London, UK
    • PDF
    • source
    • Aug 2023
  41. The scaling frontier of nested sampling: Summary talk
    • Conference summary talk Frontiers of nested sampling NS2023
    • PDF
    • source
    • Jul 2023
  42. Gradients and nested sampling: The present state of the art
  43. Nested Sampling: A multi-purpose numerical tool for science and machine learning
    • Invited seminar at ETH Zurich
    • PDF
    • source
    • Mar 2023
  44. High dimensional nested sampling
  45. Nested sampling: powering the next-generation of Bayesian inference tools for cosmology, particle physics and beyond
    • Job talk given at Cavendish laboratory, Cambridge
    • PDF
    • source
    • Dec 2022
  46. Theory, observation & cosmological inference
  47. Next generation cosmological analysis with nested sampling
  48. Next generation cosmological analysis with nested sampling
  49. Nested Sampling: An efficient and robust Bayesian inference tool for particle physics and cosmology
  50. Frontiers of nested sampling
  51. Nested Sampling and Likelihood Free Inference
  52. Statistical methods in cosmology
  53. Review on Statistical Tools and Samplers
  54. Bayesian methods for quantifying global parameter tensions between cosmological datasets
  55. Nested sampling: An efficient and robust Bayesian inference tool for 21cm cosmology
  56. Nested Sampling: An efficient and robust Bayesian inference tool for physics and machine learning
    • University of Adelaide Colloquium, Australia
    • PDF
    • source
    • Feb 2020
  57. Nested Sampling: An efficient and robust Bayesian inference tool for astrophysics and cosmology
    • University of Oxford Seminar, UK
    • PDF
    • source
    • Jan 2020
  58. Quantised primordial power spectra
  59. Nested Sampling: an efficient and robust Bayesian inference tool for Machine Learning and Data Science
    • University of Cambridge CDT Seminar, UK
    • PDF
    • source
    • Nov 2019
  60. Curvature tension: Evidence for a closed universe (?)
    • University of Portsmouth seminar, UK
    • PDF
    • source
    • Aug 2019
  61. Quantifying cosmological tensions
    • University College London seminar, UK
    • PDF
    • source
    • Jul 2019
  62. Likelihood free inference
  63. Compromise-free Bayesian sparse reconstruction
  64. Inflation, curvature and kinetic dominance
  65. BAMBI: Resurrection -- Blind Accelerated Multimodal Bayesian Inference
  66. Nested Sampling: an efficient and robust Bayesian inference tool for cosmology and particle physics
  67. Bayesian inference: The state of the art in cosmology and astrophysics
    • Cambridge at the Third Asterics-Obelics workshop
    • PDF
    • [PDF]
    • source
    • Oct 2018
  68. Planck, inflation and the future of inflationary constraints
  69. MaxEnt priors with derived parameters in a specified distribution
    • Battcock coffee-time mini-seminar, Cambridge
    • source
    • PDF
    • May 2018
  70. Nested Sampling: an efficient and robust Bayesian inference tool for astrophysics and cosmology
    • Imperial college seminar, London
    • source
    • PDF
    • May 2018
  71. Introduction to Statistics
  72. Modern Bayesian Inference
    • Seminar at Aachen RWTH
    • source
    • PDF
    • April 2017
  73. Statistics
  74. PolyChord 2.0: Advances in Nested Sampling with astrophysical applications
    • Seminar at Center for Computational Astrophysics (CCA) Flatiron Institute, New York City, US
    • source
    • PDF
    • Feb 2017
  75. PolyChord 2.0 and the future of nested sampling
    • September 2016
    • Seminar at University College London, UK
    • source
    • PDF
  76. PolyChord 2.0 and the future of nested sampling
    • May 2016
    • Seminar at Sussex University, UK
    • source
    • PDF
  77. PolyChord and the future of nested sampling
  78. PolyChord: next generation nested sampling
    • Dec 2015
    • Seminar at MPA Max Planck Institute, Garching, Germany.
    • source
    • PDF

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Academic talks given by Will Handley

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