You've found a latent space.

This space is spanned by Dulhan.

I'm an AI/ML PhD student at the University of Oxford where I'm funded by AWS in a doctoral programme called AIMS. I'm supervised by Oiwi Parker Jones in the PNPL🍍 lab.

At PNPL, I work on decoding speech from the brain (often called brain-to-text or thought-to-text). We record brain activity acquired from non-invasive sensors, which do not require surgical implantation, and develop deep learning methods to translate the recorded neural activity into speech. In the not-so-distant future, we hope this technology could assist paralysed patients to communicate via scalable brain-computer interfaces (BCIs). In the longer term, it could facilitate a plethora of applications that we are yet to understand.

I tend to explore different areas of research that excite me (especially language models) through internships. I've previously worked on open-ended learning and automating scientific planning at Meta, long-context reasoning at Google DeepMind, transcript summarisation at Speechmatics, and machine learning kernels for vectorized CPU architectures at Arm.

Feel free to reach out about anything that interests you. My research interests concentrate on future technologies that I want to see in the world, e.g. brain-computer interfaces and artificial general intelligence. For some clues, you may like to look at my publications.

I'm motivated to explore; "by oceans where none had ventured."