Speaker "David Talby" Details Back



Start of the art natural language understanding in healthcare


The ability of software to reason, answer questions and intelligently converse about clinical notes, patient stories or biomedical papers has risen dramatically in the past few years. This talk is intended for practicing data scientists and software engineers, and covers state of the art natural language processing, deep learning, and machine learning libraries in this space. We'll share notebooks & benchmarks from real projects using the Spark NLP open-source software library on which some of the best performing models have been implemented. The covered use cases will include clinical data abstraction, patient risk prediction, negation & temporal scope detection, topic modeling, and research paper classification.


David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft’s Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.