CV

Skills

Programming Languages: Python, SQL, C, C++

Machine Learning & Data: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, SciPy, Keras, MongoDB

Tools & Workflow: Docker, Qdrant, Git, GitHub, Streamlit, Linux/Bash, Jupyter

Spoken Languages: English (C1 Proficient), Spanish (Native), German (B1 Intermediate)

How to Predict Accurate Cosmological Statistics in Any Model of Gravity Sept 2024 – May 2025

Optimised experimental design by implementing and benchmarking Latin Hypercube Sampling (LHS) architectures to maximise the information density of cosmological simulations.
Deployed Gaussian Process Regression emulators to map high-dimensional parameter spaces, significantly reducing the cost of predicting cosmological statistics.
Conducted rigorous validation and error analysis, achieving 65% of predictions within a 1% margin.

Using Machine Learning to Detect Supermassive Black Holes Jan 2024 – Apr 2024

Architected an unsupervised learning pipeline using t-SNE clustering to systematically identify Active Galactic Nuclei candidates within a dataset of 3 million sources.
Engineered automated feature extraction pipelines to process GAMA09 survey imaging data, effectively isolating potential host galaxies from astronomical noise.
Performed dimensionality reduction on high-dimensional spectral data to enhance the separability of Active Galactic Nuclei (AGN) in latent space.

Edinburgh, Scotland

MPhys Astrophysics (Integrated Master’s) — Sept 2020 – Jul 2025

Classification: Second Class, Division One (2:1)
Developed end-to-end machine learning pipelines in Python (PyTorch, TensorFlow), focusing on data pre-processing, feature engineering, and model validation to ensure robust performance.
Built simulation frameworks for complex systems (Ising Model, SIRS, Game of Life) using NumPy and Matplotlib to analyze phase transitions and emergent patterns.
Engineered an interactive Streamlit application to present results to non-technical audiences.

Edinburgh, Scotland

Summer School — Jun 2024 – Jul 2024

Learned and practiced HPC technologies, including parallel programming using OpenMP, GPU acceleration, and MPI using C.

Edinburgh, Scotland

President — 2022 – 2023

Led and managed a team of 10 to coordinate a diverse calendar of academic and social events, ensuring high engagement and operational safety.
Co-managed a high-profile collaboration with the UK Space and Exploration Development Society (UKSEDS), overseeing end-to-end event planning and execution.