Meadhbh Healy

Currently pursuing a PhD in Applied Mathematics with a focus on AI-driven anomaly detection, expected to complete in April 2025. I hold an MSc in Data Science and Analytics (!st Class Honours, 2021) and a BSc in Applied Mathematics and Computer Science from Maynooth University (1st Class Honours). My academic background combines strong theoretical foundations with hands-on expertise in data science, machine learning, and anomaly detection with generative models.

Intel Postgraduate Scholarship

• Cost-Effective Active Learning for Cable Network Impairment Data - Accepted at the IEEE International Conference on Prognostics and Health Management (2025) - Meadhbh Healy, Rocco Cassandro, Zhaojun Steven Li, Andreas Baum, Thomas Martini Jørgensen
• Addressing data scarcity in ML-based failure-cause identification in Optical Networks through generative models - Published in The Journal of Optical Fiber Technology (2025) - Meadhbh Healy, Andreas Baum, Francesco Musumeci
• Enhancing Fault Detection in Optical Networks with Conditional Denoising Diffusion Probabilistic Models - Published in Northern Lights Deep Learning Conference (2025) - Meadhbh Healy, Thomas Martini Jørgensen
• Comparison of Graph- and Collection-Based Representations of Early Modern Biographical Archives - Published in Graph Technologies in the Humanities (2020) - Meadhbh Healy, Thomas O' Connor, John Keating