Sibli
Paul Daigle is currently a Lead Data Scientist at Sibli, where responsibilities include designing custom NLP solutions, experimenting with new models, and engineering automated training pipelines. Prior experience includes leading the NLP practice at Deloitte's Omnia AI, where Paul built a dedicated team, developed an in-house NLP Accelerator, and identified various NLP use-cases. Previous roles involved significant contributions to projects focused on legal document analysis, financial engineering, and risk management during tenures at CIRANO, including roles as a researcher and intern. Educational background comprises a Master of Science in Finance from HEC Montréal and a Bachelor of Engineering in Physics from Polytechnique Montréal, supplemented by earlier studies in France.
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Sibli
Institutional investors leverage our technology to secure an information advantage, uncover blind spots, and improve performance. The technology processes unstructured data, identifies key insights, and delivers them to portfolio managers and analysts, empowering them to make better investment decisions.