Resume
Education
Universitat Pompeu Fabra, Sapienza, and University of Ljubljana
Erasmus Mundus Joint Master in Artificial Intelligence specialising in Data Science
Sep 2024 – Aug 2026
Thesis: Pretraining Strategies for Sketch-Based Image Retrieval.
Studying across Barcelona, Rome, and Ljubljana.
Attending on Erasmus Mundus Scholarship
Waipapa Taumata Rau University of Auckland
BE (Hons) with first class honours specialising in Biomedical Engineering
Mar 2019 – Nov 2022
Thesis: Technology to Advance Treatment of Children with Movement Disorders
Attended on Top Achiever Scholarship
Faculty of Engineering Dean's Honours List 2019-2022
Class Representative for Biomedical Engineering 2021-2022
Experience
Built Python, Power BI, and Minitab analytics tools to process testing, clinical trial, and operational data.
Collaborated with engineering, scientific, and operations teams to translate user needs into data tools and metrics.
Applied statistical analysis to large, noisy datasets to support design verification and a first-in-human clinical trial.
Conducted market research comparing products with competitors.
Designed and prototyped a display model for a new product.
Assisted in preclinical studies and design verification through experimental testing and statistical analysis.
Developed a MATLAB-based framework to capture, analyse, and visualise dexterous manipulation data.
Worked with time-series sensor data from IMUs to estimate orientation and movement patterns.
Designed experimental hardware to integrate sensors into standardised manipulation objects.