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Jake Lever is a Lecturer in the School of Computing Science at the University of Glasgow, focused on Information and Data Analysis, particularly in the field of Natural Language Processing and Information Retrieval. His research is dedicated to extracting biomedical knowledge from biomedical text, utilizing natural language processing and machine learning techniques to assist researchers in discovering critical insights from published literature. Lever emphasizes the importance of precision medicine, aiming to tailor treatments based on an individual's genetic profile and the latest research. He has spent years as a postdoctoral researcher at Stanford University, working in the Helix Group and gained extensive experience in bioinformatics at the Michael Smith Genome Sciences Centre in Vancouver, Canada. Lever completed his B.Eng. in Software Engineering at the University of Edinburgh. He co-leads the Glasgow AI4BioMed Lab, where he collaborates on projects related to natural language processing, knowledge graphs, and developing methods to extract and infer biomedical knowledge. Furthermore, he has contributed to education by teaching courses on text data analysis and is involved in a short course on Generative Pre-trained Transformers available on Coursera.
University of Glasgow • Glasgow, SC
Lecturer in the School of Computing Science focused on Natural Language Processing and Information Retrieval.