Natural Language Processing (NLP) has been used in drug discovery for decades. However, the emergence of AI-driven drug discovery coupled with recent advances in NLP have redefined the relationship between the two fields. This talk will focus on major classes of NLP techniques used in drug discovery as well as challenges arising when creating real-world biomedical NLP systems. The talk will cover topics such as dataset selection and construction, evaluation, models, methodology, research process and structure of NLP systems in AI-driven drug discovery.
I am a Lead AI Scientist at BenevolentAI with a focus on NLP. I have a PhD in NLP from the University of Cambridge and have spent the last six years building NLP systems in the AI industry, mostly in the biomedical domain. I specialise in Information Extraction, Information Retrieval and Knowledge Representation and have a strong interest in creating NLP systems that solve real-world problems.
