• Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Chemical Informatics
  • Keywords: Classification, Data Science, Machine Learning, Peroxides, Representation Learning, Safety, Time Sensitive Chemicals
  • Tools: Azure SQL Server, Cheminfomatics, Chemistry, Posit, Python, Shiny App, SQL Server, Version Control, Web App Development
  • Citizenship: Open to all students
Summary

This project aims to develop a database and user-friendly application for identifying and classifying time-sensitive chemicals, particularly those that can form peroxides.

Description

PROJECT RECOMMENDED for Computer Science / Data Science + Chemical Engineering / Chemistry majors. Experience in Cheminformatics (data representations for molecules) a huge plus! PROJECT KEYWORDS -- Peroxides, time sensitive chemicals, safety, data science, machine learning, representation learning, classification PROJECT TOOLS & SKILLS -- Python, SQL Server, Azure SQL Server, Posit, Shiny, Data Science, Machine Learning, Chemistry, Cheminfomatics, Web App Development, Version Control