I am a Research Scientist in AI focused on exploring topics in foundational AI. My research interests include topics surrounding large models, meta-learning, structured intelligence and challenges in representation learning. In addition, my research involves developing real-world applications of AI to solve engineering problems.

I have recently started to write a few blog posts on my Medium page. At the moment I only have a couple of published posts but I am trying to use my free time to grow this section.

• Can Machines Dream? - Towards Data Science (TDS)
• Topic Model Based Recommendation Systems - Towards Data Science (TDS)
• What actually happens in a particle collision? - Particle Physics 101
• AGI, AI, DL, ML… What’s the Difference? - The Startup

• Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization, D. Buffelli*, J. McGowan*, W. Xu, A. Cioba, D. Shiu, G. Hennequin and A. Bernacchia, NeurIPS, 2024
• Efficient Model Compression Techniques using FishLeg, J. McGowan, W. S. Lai, W. Chen, H. Aldridge, J. Clarke, J. Garcia, R. Xia, Y. Liang, G. Hennequin and A. Bernacchia, NeurIPS Neural Compression Workshop, 2024
• MSHT20 N³LO Parton Distribution Functions with Theoretical Uncertainties, J. McGowan, T. Cridge, L.A. Harland-Lang and R. Thorne, European Physical Journal C, January 2023
• A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail, J. McGowan, Fabon Dzogang, et. al., FashionXRecSys, 2022
• Cross-Lingual Transfer with MAML on Trees (2021), J. Garcia, F. Freddi, F. Liao, J. McGowan, T. Nieradzik, D. Shiu, Y. Tian and A. Bernacchia, EACL Adapt-NLP, 2021

The header image shown in this profile page has been produced by style transfer. I have used a Convolutional Neural Net (CNN) to recast one of my favourite photographs (the entire human race, minus Michael Collins) with Van Gogh's "The Starry Night". Check out my `deep_dreams` repo to see the code, and more images!