Python coding for data chemistry applications

Mentor Name:
Matthew Sigman

Mentor Position:
Distinguished Professor




Project Description:

A main thrust of our lab is to integrate data science/machine learning tools into reaction optimization processes. Please contact Sarah Lefave, lab manager, at if interested.

Opportunity Type:

This is a paid research position

Student Role:

Project includes rewriting, updating, and combining existing in-house python scripts for data chemistry and cheminformatics.

Student Benefits:

Students will have the opportunity to develop research skills in a collaborative research environment with graduate students, other undergraduates, postdocs, and professors.

Project Duration:

1 semester at 10-20 hours/week

Minimum Requirements:

No prior chemistry knowledge required. Proficient in Python, experience with GitHub, Jupyter notebook, and some knowledge of statistics is preferred.