For quantitative research, machine learning, AI systems, data science, and scientific software engineering roles.
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Cosmology, gravitational-wave inference, and scientific machine learning.
GPU-accelerated and differentiable Pulsar Timing Array inference with JAX in the EPTA collaboration.
Developed data-analysis methods for LISA, including Gaussian-process-accelerated Bayesian inference and reconstruction of primordial curvature perturbations from scalar-induced gravitational waves.
Astroparticle physics and cosmology; Gaussian-process acceleration of expensive Bayesian inference. MSc grade 1.3 (approximately 3.7/4.0 GPA); BSc grade 1.7 (approximately 3.3/4.0 GPA).
Bayesian inference · probabilistic machine learning · Gaussian processes · active learning · uncertainty quantification · Monte Carlo methods · numerical optimisation · time-series analysis · AI agents and agent loops · Python · JAX · NumPy · SciPy · scikit-learn · PyTorch · TensorFlow · C++ · FastAPI · REST APIs · Docker · CI/CD · HPC and GPU computing · scientific software · gravitational-wave analysis · differentiable programming