The efficacy of machine learning for imagined & inner speech decoding from EEG: a multimodal analysis
Dissertation for my Masters in Data Science at the University of Bath. I investigated the use of AI to "read the mind" by developing an EEG-based Brain-Computer Interface. The ML algorithms I implemented were able to perform multi-modal speech decoding with statistically significant accuracy.
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Riccardo Bonzano
(He/Him)
R&D Analyst, Pacific Life Re
Hello! I'm Riccardo, Laidlaw Scholar of the 2019 cohort. I'm passionate about technology and how it can aid our transition to a more ethical and sustainable society.
My Undergraduate Scholarship research focused on the theoretical side of quantum computing: the physics of open dissipative quantum systems.
These days, I work as R&D analyst, quantifying financial risk and developing models, tools and processes to extract information from insurance data.
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