Works on predictive models as a member of the Data Mining and Machine Learning team at LIRIS, a multi-disciplinary research lab with a focus on information systems
Honed his skills in natural language processing at the Ubiquitous Knowledge Processing Lab of the German Institute for International Educational Research at Frankfurt. Developed a means of identifying and classifying persuasive and argumentative documents in user-generated content like discussion forums and article comments.
- Advocates for a wider use of machine learning and analytics across multiple fields as an active member of the non-profit Lyon Data Science
During the Paris Summer Innovation Fellowship, Anil worked on:
A one-stop site for contextualized risk assessment in Paris (with Corey from Canada, and Peter from Slovakia).
Au cours du Paris Summer Innovation Fellowship, Anil a participé à :
La création d'un site web dédié à la prévention des risques à Paris.