Machine Learning & Analytics Predicting Top 10 Formula 1 Finishes and Clustering Race Tracks This project uses machine learning to predict top 10 finishes in F1 races and cluster tracks by characteristics. Tracing the Origins of Solar Wind This project uses machine learning to analyze solar wind, trace its solar corona origins, and predict heliophysical events. Predicting Sunspots This project leverages ensemble and deep learning models to forecast sunspots and Heliospheric Current Sheet (HCS) indexes, enhancing the prediction of solar wind structures. Experimental Design Draw to Learn: A Strategy to Learn Abstract Concepts This project studies how student-generated drawings aid learning of abstract science concepts in a lab setting.
