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Lectures

  1. Data Driven Radio Astronomy in the SKA era (2 Lectures)

  2. Hamilton's Principle

    • Teaching Lecture for Faculty Job at Cavendish Physics, University of Cambridge. Additional material includes lecture notes, problem sheet and Python notebooks.
    • Faculty Job Application
    • Cavendish Physics, University of Cambridge
    • Lecture
    • Additional Material

Talks

  1. Machine Learning the Infant Universe

    • Jodrell Bank Centre for Astrophysics Colloquium
    • University of Manchester, Manchester
    • Invited
    • PDF
    • February 2026
  2. On the accuracy of posterior recovery with neural network emulators

    • Modern Numerics for Theoretical Physics Seminar Series
    • Institute for Theoretical Physics, Heidelberg
    • Invited
    • PDF
    • October 2025
  3. Machine Learning the Infant Universe

  4. On the accuracy of posterior recovery with neural networks

  5. Constraining the stochasticity of star formation

  6. Machine Learning the Infant Universe

    • Cavendish Physics, University of Cambridge
    • Faculty Job Talk
    • PDF
    • July 2025
  7. 21-cm Cosmology and REACH

    • UC Louvain Seminar
    • Louvain-la-Neuve
    • PDF
    • July 2025
  8. On the accuracy of posterior recovery with neural network emulators

  9. On the accuracy of posterior recovery with neural network emulators

  10. Constraining the stochasticity of star formation across galaxy populations with simulation based inference

  11. 21cm Cosmology and the PopIII IMF

    • Extragalactic Group Cambridge
    • University of Cambridge
    • PDF
    • April 2025
  12. On the accuracy of posterior recovery with neural network emulators

    • Cosmological Inference in High Dimensions, Kavli Science Focus Meeting
    • University of Cambridge
    • PDF
    • November 2024
  13. Calibration for 21cm Cosmology

    • CosmoCube@JPL Workshop
    • Jet Propulsion Laboratory, California, US
    • PDF
    • November 2024
  14. Marginal Bayesian Statistics and Post Processing of Bayesian Constraints

    • 7th Global 21-cm Workshop
    • Raman Research Institute, Bengaluru, India
    • PDF
    • October 2024
  15. On the accuracy of posterior recovery with neural network emulators

    • 21cm Discussion Group
    • University of Cambridge
    • PDF
    • October 2024
  16. REACH Calibration Overview

    • REACH Annual General Meeting
    • Mahabaleshwar, India
    • October 2024
  17. Beam Modelling and Emulation for REACH

    • REACH Annual General Meeting
    • Mahabaleshwar, India
    • October 2024
  18. Machine Learning enhanced Bayesian Inference for Cosmology

    • Seminar, University of St Andrews
    • St Andrews, Scotland
    • PDF
    • September 2024
  19. Machine Learning enhanced Bayesian Inference for Cosmology

    • Davis Group Seminar, University of Queensland
    • Brisbane, Australia
    • PDF
    • August 2024
  20. Calibrating Tension Statistics with Neural Ratio Estimation

  21. Calibrating Tension Statistics with Neural Ratio Estimation

    • ML4ASTRO
    • Catania, Sicily (Remote)
    • PDF
    • July 2024
  22. Machine Learning Enhanced Bayesian Workflows for Galaxies

    • Galaxies Discussion Group, University of Cambridge
    • PDF
    • May 2024
  23. Calibrating Tension Statistics with Neural Ratio Estimation

  24. 21-cm Cosmology as a probe of the high redshift universe

  25. Forward Modelling in 21-cm Cosmology

    • Cambridge-LMU Cosmology Meeting
    • Max Planck Institute for Extraterrestrial Physics
    • PDF
    • December 2023
  26. Observing the first stars and galaxies

    • Research Salon, St Edmunds College
    • Cambridge
    • PDF
    • November 2023
  27. Novel Statistical Methods and 21-cm Cosmology

  28. Joint analysis constraints from 21-cm probes with normalizing flows

  29. REACH Calibration Software Update

  30. Joint analysis constraints on the physics of the first galaxies

  31. On the Current Constraints on Superconducting Cosmic Strings from 21-cm Cosmology

  32. Utilizing Normalizing Flows in our Bayesian Workflows

  33. Joint analysis constraints on the physics of the first galaxies with low frequency radio astronomy data

  34. Machine Learning for 21-cm Cosmology

    • DARA REACH Workshop
    • PDF
    • February 2023
  35. Astrophysics from the SARAS3 non-detection of the global 21-cm signal

  36. globalemu: Novel and robust emulation of 21-cm signals from the Epoch of Reionization

  37. Marginal Bayesian Statistics with Masked Autoregressive Flows and Kernel Density Estimators

  38. Constraining the Astrophysics of the Early Universe using the SARAS Instrumentation

  39. A comprehensive Bayesian re-analysis of the SARAS2 data from the Epoch of Reionization

  40. globalemu: A novel and robust approach to emulating the global 21-cm signal with neural networks

  41. A Bayesian re-analysis of the sky-averaged 21-cm experimental data from SARAS2

  42. globalemu: novel and robust global 21-cm signal emulation

  43. maxsmooth and its applications in science at low frequencies

  44. maxsmooth and its applications to 21-cm cosmology

Posters

  1. globalemu: A novel and robust approach for emulating the sky averaged 21-cm signal from the cosmic dawn and epoch of reionization

    • A Precursor View of the SKA Sky
    • Virtual Conference
    • PDF
    • May 2021
  2. REACH: Radio Experiment for the Analysis of Cosmic Hydrogen

  3. REACH: Radio Experiment for the Analysis of Cosmic Hydrogen

    • Cavendish Graduate Conference
    • University of Cambridge
    • PDF
    • November 2019

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