0000-0002-4290-7351 About
I am an Associate Professor at the University of Birmingham and Principal Investigator of the European Research Council grant CartographY, where I lead research at the intersection of Bayesian inference, artificial intelligence, and large-scale data science.
My work focuses on building scalable probabilistic models, neural emulators, and uncertainty-aware machine learning systems for complex, data-intensive problems. While my primary domain is astrophysics, the methodologies I develop — hierarchical Bayesian modelling, probabilistic programming, simulation-based inference, and scientific machine learning — translate directly to challenges in industrial data science, AI-driven decision-making, and high-dimensional statistical inference.
I design and deploy production-grade inference pipelines using modern computational tools (JAX, NumPyro, PyTorch, GPU-accelerated HPC), enabling fast, robust parameter estimation and predictive modelling at scale. My research emphasises principled uncertainty quantification, interpretability, and model reliability — critical for high-stakes applications.
I am deeply involved in the European Space Agency’s PLATO mission, leading projects that analyse large observational datasets and develop next-generation modelling frameworks. Alongside research, I teach Bayesian inference and machine learning for scientists, supervise PhD students and postdoctoral researchers, and work closely with international collaborators across academia and industry.
I am keen to collaborate on problems involving probabilistic modelling, uncertainty-aware AI, large-scale inference, and complex data analysis.
Expertise: Bayesian inference • Data science • Probabilistic programming • Scientific machine learning • Simulation-based inference • Uncertainty quantification • HPC & GPU computing • Applied AI
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (78)
- Ensemble asteroseismology Save
- Granulation signatures as seen by Kepler short-cadence data Save
- Asteroseismology of solar-like oscillators: emulating individual mode frequencies with a branching neural network Save
- Peakbagging the K2 KEYSTONE sample with pbjam: characterizing the individual mode frequencies in solar-like oscillators Save
- Asteroseismology with PBjam 2.0: Measuring Dipole Mode Frequencies in Coupling Regimes from Main-sequence to Low-luminosity Red Giant Stars Save
- gr8stars – I. A homogeneous spectroscopic study of bright FGKM dwarfs and a public library of their high-resolution spectra Save
- The K2 Asteroseismic KEYSTONE sample of Dwarf and Subgiant Solar-Like Oscillators Save
- Reggae: A Parametric Tuner for PBJam, and a Visualization Tool for Red Giant Oscillation Spectra Save
- Asteroseismology of 3642 Kepler Red Giants: Correcting the Scaling Relations Based on Detailed Modeling Save
- PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators* Save
- The Kepler Smear Campaign: Light Curves for 102 Very Bright Stars Save
- Testing asteroseismology with Gaia DR2: hierarchical models of the Red Clump Save
- Filtering Solar-Like Oscillations for Exoplanet Detection in Radial Velocity Observations Save
- The Asteroseismic Target List for Solar-like Oscillators Observed in 2 minute Cadence with the Transiting Exoplanet Survey Satellite Save
- A Synthetic Sample of Short-cadence Solar-like Oscillators for TESS Save
- Asteroseismology of KIC 8263801: Is It a Member of NGC 6866 and a Red Clump Star? Save
- Stellar Surface Magneto-convection as a Source of Astrophysical Noise. II. Center-to-limb Parameterization of Absorption Line Profiles and Comparison to Observations Save
- Aldebaran b’s Temperate Past Uncovered in Planet Search Data Save
- Empirical Relations for the Accurate Estimation of Stellar Masses and Radii Save
- Signatures of Magnetic Activity in the Seismic Data of Solar-type Stars Observed by Kepler Save