About me

I’m a researcher and AI engineer bridging theoretical foundations with practical AI applications. With a Ph.D. in Mathematics from the University of Houston, I developed theoretical frameworks for neural network learning dynamics before transitioning to applied AI.

Currently, I lead AI/ML at the Project Management Institute in London, focusing on large language models, memory systems, and multi-agent frameworks. My work spans from investigating cutting-edge AI research to deploying production systems that serve real users.

What drives me is the belief that impactful AI research happens when theoretical understanding meets real-world application. I’m particularly interested in AI safety and alignment, emergent behaviors in neural networks, and developing more interpretable AI systems.

My research has been published in top-tier venues including Nature Neuroscience and PLOS Computational Biology. I’m passionate about fostering collaboration in the AI research community, founding and leading an AI Journal Club that has grown to over 60 active participants.