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Aleksandar Botev

PhD in Deep Learning at UCL

Aleksandar Botev is a dedicated PhD student in Machine Learning at UCL, working under the guidance of Prof. David Barber. With a keen interest in Deep Learning and its applications, his research focuses on areas such as Optimization for Deep Learning Models, Recurrent and Memory Augmented Recurrent Networks, and Variational Inference. Particularly in the realm of Natural Language Processing (NLP), Aleksandar is actively involved in utilizing these techniques for tasks like Question and Answering, Language Modelling, and Text Summarization. Apart from academic pursuits, he is also contributing to the development of an autodiff package in C++, showcasing his practical skills and commitment to the field.

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London, Greater London, United Kingdom