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Biography
Currently, I am a Postdoctoral Research Associate at Imperial College London developing Generative Foundation Models for Biosignals used in Brain-Computer Interfaces (BCIs).
ELLIS Member, Fellowship Advance Higher Education and Registered Engineer in Greece (TEE)
PhD Graduate in Computer Science (Artificial Intelligence) from the Department of Computing at Imperial College London, where I conducted my research under the supervision of Professor Stefanos Zafeiriou. My doctoral research, titled “Enhancing Motor-Imagery Brain-Computer Interfaces Through Deep Learning,” explored intersections between Deep Learning and Brain-Computer Interfaces, including Differentiable Signal Processing, Geometric Deep Learning and Causality. I passed my PhD defence with no corrections and my work has been published in top-tier AI venues.
Since 2021, I have been working as a Machine Learning Engineer at Cogitat, where I develop innovative deep learning methods for EEG-based Brain-Computer Interfaces (BCIs). Our groundbreaking technology has been featured by outlets such as the British Computing Society, Sky News, BBC, The Times, The Telegraph, New Statesman and Business Insider. I have also participated in releasing interactive demos showcasing this technology.
In addition to my research, I have actively contributed to the academic community. During my PhD, I served as a PhD Student Academic Representative, co-organized the London Geometry and Machine Learning (LOGML) Summer School, led the Imperial Computing Conference (ICC) and participated in the Equity, Diversity, and Culture Committee at Imperial College London. I have also been involved as a Lakera AI Student Momentum Ambassador and Microsoft Student Ambassador. Furthermore, I have been a reviewer for many prestigious AI journals and conferences.
Prior to my PhD, I completed a Master of Engineering (MEng) at Imperial College London and spent my final year at ETH Zürich, conducting my Master’s thesis under the supervision of Professor Thomas Hofmann.
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Works (11)
https://openreview.net/forum?id=IGSDECEKt8
https://openreview.net/forum?id=N8CIlpniXs
https://openreview.net/forum?id=BQjdAAA7Ob
https://openreview.net/pdf?id=HRfDSrOLclq
https://proceedings.mlr.press/v176/wei22a.html