Welcome to my GitHub profile! I'm a final-year Computer Engineering master's student with startup experience and a strong interest in AI research and engineering.
I'm currently researching Bayesian Neural Networks (BNNs) for counterfactual explanations, focusing on robustness and interpretability in non-linear classification tasks. My work explores how BNNs leverage uncertainty as a proxy for the data distribution, enabling realistic, in-distribution counterfactuals that improve over existing methods relying on linear approximations.
I'm also investigating how these techniques scale in high-dimensional settings and their potential to balance interpretability and accuracy in critical applications like healthcare.
More details can be found here: Bayesian-CE repository
In my other pinned repositories, you'll find my personal projects as well as those I've completed as part of my university coursework over the years, including work on distributed systems, machine learning, reinforcement learning, and information retrieval.
I am graduating in 2025 and am actively seeking roles as an AI Research Engineer/Software Engineer, whether it be full-time positions, internships, or short-term roles. Feel free to reach out!
- Email: conorfin02@icloud.com
- LinkedIn: https://linkedin.com/in/conorfinlay
- Personal Website: https://conorfinlay.me/