I am a computational neuroscience and ML PhD Student in the Bethge lab at the University of Tübingen, passionate about the synergy of AI and Neuro.

Recently graduated from an MSc in ML from UCL and holding a BSc in Neuroscience from the University of Sussex, I am now uniting my long-standing passion for Computer Science with my previous academic knowledge to help advance the methods and techniques that will shape the future of Neuroscience through Machine Learning.

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📚 Education

MSc Machine Learning

University College London, London, UK – (Sep 2021 - present)

• Core modules: Supervised Learning, Graphical Models, Reinforcement Learning, Natural Language Processing, Machine Vision, Applied ML, Bayesian Deep Learning.
• Working in the Neural Computation Lab (Michael Hausser) as part of the MSc Project. Building Deep Semi-Supervised models to classify cerebellar cell types from Neuropixel recordings in awake, moving animals.

BSc Neuroscience with Cognitive Science

University of Sussex, Brighton, UK – (Sep 2018 - June 2021)

• Graduated with 1st Class Honours (80%), winning the School Prize for Neuroscience for best third-year performance in the school.
• Data-analysis dissertation on Collective Intelligence, incorporating statistical and tracking methods to analyse ants’ behavioural data.
• Focused on evidence- and data-driven approaches to the biological sciences
• A selection of modules taken includes: Intelligence in Animals and Machines, Neural Circuits, Sensory Function and Computation, Techniques in Neuroscience. The degree encompassed a broad range of themes in Neuroscience and the Cognitive Sciences.

Neuromatch Academy

Online, worldwide – (July 2020 - August 2020)

• Participated as an interactive student, attending lectures and tutorials as well as completing peer-led project work.