Sandre Eugenio
Sandre obtained her Bachelor's degree in Physics in 2025. She was supported by a DOST–SEI Undergraduate S&T Scholarship. Her research focused on applying machine learning techniques, particularly a stacked model approach, to classify toxic algal bloom events, while addressing data imbalance issues.
BS Thesis:
Toxic algal bloom risk classifier using a stacked model approach with random forest and logistic regression
BS Adviser: