About Me#

I’m a data scientist and former computational cognitive neuroscientist based in Brighton. I’m interested in various kinds of machine learning applications but have focused mostly on natural language processing and speech recognition. I’ve also worked on Bayesian hierarchical models in a scientific context and am always keen to add a probabilistic twist to whatever I’m working on.

During my PhD I used machine learning to understand speech processing in the brain better; specifically, I focused on the potential of probabilistic unsupervised learning and interpretable deep neural networks to predict brain activity.

Background#

My background combines cognitive neuroscience, machine learning, and data science:

  • Data Science: Natural language processing, speech recognition, and machine learning applications

  • Research: Computational cognitive neuroscience, auditory processing, voxel-wise encoding models

  • Methods: Deep learning, Bayesian modeling, neuroimaging analysis

Contact#

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