• Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Assay Optimization, Chromatography, NLP
  • Tools: AWS, Confluence, JIRA, Python
  • Citizenship: Open to all students
Summary

Students will develop an NLP model to extract chromatographic data from published literature. These findings would be stored in a searchable database. Gives Merck scientists a database for chromatographic conditions which can be used for method development.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Merck (NLP Extraction of Chromatographic Data)' in the Note section, and select the appropriate CRN.