projects

Matching students with schools where they are likely to succeed

Used machine learning to match students with higher education programs where they are more likely to get in and graduate based on their unique profile. Focused on serving students from backgrounds traditionally less likely to attend college or apply for more competitive programs.

Approaches include: Recommender systems, predictive modeling, software engineering