Skip to content

williamjameshandley/talks

Repository files navigation

Will Handley's academic talks

Academic talks

  1. Two Revolutions: GPUs for Science, AI for Scientists
    • Seminar at Imperial College London
    • PDF
    • source
    • Jan 2026
  2. AI/ML Tools for Research
    • GAMBIT LLMBit Workshop, Oslo
    • PDF
    • source
    • Dec 2025
  3. GPU Accelerated Bayesian Inference for Astronomy
    • Talk given at University of Birmingham
    • PDF
    • source
    • Oct 2025
  4. GPU Accelerated Nested Sampling for 21-cm Cosmology
  5. Next-Generation Model Comparison for Primordial Cosmology
  6. AI/ML Tools for Research
    • KICC Workshop for faculty, postdocs, and PhD students
    • PDF
    • source
    • Jul 2025
  7. A Statistician's Guide to the Galaxy (Fitting Zoo)
  8. GPU Accelerated Nested Sampling
  9. lsbi: linear simulation based inference
  10. GPU-native nested sampling in BlackJAX: For simulation-based inference at scale
  11. Scanning for cosmological tensions across a DiRAC-enabled grid of models, datasets and samplers
  12. Cosmological tensions? A guide for high energy theorists
    • Talk given to DAMTP HEP group Cambridge
    • PDF
    • source
    • Jan 2025
  13. Theory meets experiment 2025: New frontiers in particle cosmology
  14. Next-generation statistical inference tools: Simulation-based inference, marginal statistics & accelerated nested sampling
  15. PolySwyft: a sequential simulation-based nested sampler
  16. lsbi: linear simulation based inference
  17. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  18. Sampling methods for high energy physics & particle astrophysics
  19. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  20. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  21. PolySwyft: a sequential simulation-based nested sampler
  22. The scaling frontier of nested sampling
  23. Resonant or asymmetric: The status of sub-GeV dark matter
  24. Next generation astrophysical inference across the interdisciplinary frontier
    • remote job talk given to UCL
    • PDF
    • source
    • May 2024
  25. PolySwyft: a sequential simulation-based nested sampler
  26. Next generation astrophysical inference across the interdisciplinary frontier
    • Job Talk given at the Institute of Astronomy, Cambridge
    • PDF
    • source
    • April 2024
  27. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  28. Sampling techniques in high-dimensional parameter spaces with ScannerBit 2.0
  29. Next-generation inference tools for cosmology and beyond
    • Talk given at Oxford cosmology seminar
    • PDF
    • source
    • Jan 2024
  30. Simulation Based Inference: theory, sampling & model comparison
    • Talk given at RAS SBI workshop
    • PDF
    • source
    • Jan 2024
  31. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  32. unimpeded: Universal model comparison and parameter estimation distributed over every dataset
  33. Cosmological inference tools: marginal statistics and fully Bayesian forecasts.
  34. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  35. Nested sampling tools
  36. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  37. 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
  38. The scaling frontier of nested sampling: Summary talk
    • Conference summary talk Frontiers of nested sampling NS2023
    • PDF
    • source
    • Jul 2023
  39. Gradients and nested sampling: The present state of the art
  40. Nested Sampling: A multi-purpose numerical tool for science and machine learning
    • Invited seminar at ETH Zurich
    • PDF
    • source
    • Mar 2023
  41. High dimensional nested sampling
  42. 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
  43. Theory, observation & cosmological inference
  44. Next generation cosmological analysis with nested sampling
  45. Next generation cosmological analysis with nested sampling
  46. Nested Sampling: An efficient and robust Bayesian inference tool for particle physics and cosmology
  47. Frontiers of nested sampling
  48. Nested Sampling and Likelihood Free Inference
  49. Statistical methods in cosmology
  50. Review on Statistical Tools and Samplers
  51. Bayesian methods for quantifying global parameter tensions between cosmological datasets
  52. Nested sampling: An efficient and robust Bayesian inference tool for 21cm cosmology
  53. Nested Sampling: An efficient and robust Bayesian inference tool for physics and machine learning
    • University of Adelaide Colloquium, Australia
    • PDF
    • source
    • Feb 2020
  54. Nested Sampling: An efficient and robust Bayesian inference tool for astrophysics and cosmology
    • University of Oxford Seminar, UK
    • PDF
    • source
    • Jan 2020
  55. Quantised primordial power spectra
  56. 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
  57. Curvature tension: Evidence for a closed universe (?)
    • University of Portsmouth seminar, UK
    • PDF
    • source
    • Aug 2019
  58. Quantifying cosmological tensions
    • University College London seminar, UK
    • PDF
    • source
    • Jul 2019
  59. Likelihood free inference
  60. Compromise-free Bayesian sparse reconstruction
  61. Inflation, curvature and kinetic dominance
  62. BAMBI: Resurrection -- Blind Accelerated Multimodal Bayesian Inference
  63. Nested Sampling: an efficient and robust Bayesian inference tool for cosmology and particle physics
  64. Bayesian inference: The state of the art in cosmology and astrophysics
    • Cambridge at the Third Asterics-Obelics workshop
    • PDF
    • [PDF]
    • source
    • Oct 2018
  65. Planck, inflation and the future of inflationary constraints
  66. MaxEnt priors with derived parameters in a specified distribution
    • Battcock coffee-time mini-seminar, Cambridge
    • source
    • PDF
    • May 2018
  67. Nested Sampling: an efficient and robust Bayesian inference tool for astrophysics and cosmology
    • Imperial college seminar, London
    • source
    • PDF
    • May 2018
  68. Introduction to Statistics
  69. Modern Bayesian Inference
    • Seminar at Aachen RWTH
    • source
    • PDF
    • April 2017
  70. Statistics
  71. 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
  72. PolyChord 2.0 and the future of nested sampling
    • September 2016
    • Seminar at University College London, UK
    • source
    • PDF
  73. PolyChord 2.0 and the future of nested sampling
    • May 2016
    • Seminar at Sussex University, UK
    • source
    • PDF
  74. PolyChord and the future of nested sampling
  75. PolyChord: next generation nested sampling
    • Dec 2015
    • Seminar at MPA Max Planck Institute, Garching, Germany.
    • source
    • PDF

About

Academic talks given by Will Handley

Resources

Stars

Watchers

Forks

Packages

No packages published

Contributors 2

  •  
  •  

Languages