I am a PhD candidate whose research is rooted in understanding the relationship between the brain and phenomenal experience, with a focus on investigating the mechanisms through which meditation affects such experience.

My approach is bidirectional. I aim to leverage insights from rigorous and fine-grained investigation of experience in the service of enhancing computational neuroscience frameworks such as active inference, and conversely, to research the ways in which such frameworks can shed light on the transformative mechanisms involved in sustained meditation practices. I seek to do so through the development of theoretical frameworks in addition to computational models which align with them.

I see my work as forming part of larger endeavours in neurophenomenology and contemplative science, with the overall aim being to support decreased suffering and increased wellbeing.

Prior to starting my PhD, I completed a B.Comp. in Computer Science at the University of Guelph and then received a Masters in Theoretical and Practical Philosophy, Specialisation in Logic, History and Philosophy of Science from the UNED in Spain. My master’s thesis centred around developing a predictive processing account of meditation, learning and neuroplasticity.