My research is centred on the development and application of approaches in machine learning, statistical inference and high-performance computing to address domain challenges under the broad umbrella of predictive analytics. Below is a (non-exhaustive) list of my areas of interest.
Machine learning & applied statistics
- Non-parametric Bayesian methods
- Estimation theory and sampling
- Deep learning techniques
Operational research & public policy
- Geopatial analysis and simulations
- Military and humanitarian risk
- Quantitative criminology
Computational finance & economics
- FinTech and market microstructure
- Efficiency in financial markets
- Econometric forecasting
Cosmology & astrostatistical models
- Large-scale structure and lensing
- Galaxy formation and evolution
- Cosmological parameters
Previous research visits and retreats
- 2023: Member of the Cosmostatistics Initiative Residence Program 7 (Portugal)
- 2023: Participant of the Scottish Crime Data Hackathon (UK)
- 2023: EPSRC Statistics and OR Research Community Workshop (UK)
- 2022: Co-organizer of the AI Super-Resolution Simulations Workshop (USA)
- 2020-2021: Limited travel due to thesis write-up and a pandemic (everywhere)
- 2019: Member of the Cosmostatistics Initiative Residence Program 6 (France)
- 2018: Observer at the Cerro Tololo Inter-American Observatory (Chile)
- 2018: Member of the Cosmostatistics Initiative Residence Program 5 (Greece)
- 2018: Visiting Researcher at the Max Planck Institute for Astrophysics (Germany)
- 2018: Dublin School on Gravitational Wave Source Modelling (Ireland)