About

My research and interests

I'm a PhD student at the Mullard Space Science Laboratory under the supervision of Prof. Lucie Green. My research focuses on the application of Machine Learning methods to solar physics. In particular, I'm interested in how these methods may help us forecast Coronal Mass Ejections (CMEs), which are a driver of space weather and can affect our technology.

What drives my research is the quest for clarity within the often-perceived "black box" of ML. I am committed to developing ML methods that are not only effective, but also explainable and interpretable. This pursuit is more than a technical challenge; it's a crucial step towards integrating ML more deeply into scientific research. I believe that transparent ML methods can do more than predict; they can illuminate the underlying physical processes they try to model. This is a great opportunity to use machines to compliment human intelligence.

Beyond the technicalities of ML and solar physics, my passion extends to the broader realms of Artificial Intelligence and Artificial General Intelligence. I'm deeply intrigued by the philosophical and psychological aspects, especially the notion of consciousness. The ethical treatment of a potential artificial consciousness is a topic that frequently occupies my thoughts. In this era of rapid technological advancement, we stand at a pivotal juncture. It's a time to reflect and decide how we harness these powerful tools we are developing.

Collaborations and Contact

I am always on the lookout for like-minded individuals, researchers, and enthusiasts who are eager to dive into the depths of solar physics, AI, and their ethical implications. If you're interested in collaborating, exchanging ideas, or just having a chat about the mysteries of the universe and the future of AI, please feel free to reach out. Let's connect and contribute to this exciting field together. For inquiries or collaboration proposals, visit my Contact Page