Data Science Researcher, student leader, and environmentalist passionate about using data, modeling, and machine learning to produce AI solutions and shift systems toward a renewable, net-zero future.
- neuronalDataResearch – Analysis of large-scale neural recordings for sound discrimination, PCA, LDA, and more.
- ESGStockPriceModel – Data normalization + modeling to explore the relationship between ESG and stock performance.
- bondsPCA – Applying Principal Component Analysis to bond yield curves to uncover hidden market structure.
- WiDSDatathon – Women in Data Science competition project focused on predictive modeling and impactful analytics.
- Leading University of Oregon's Quantitative Finance Group and collaborating on data modeling research projects for financial investing.
- Advancing sustainable finance research using data to show renewables make economic profit
- Building interactive dashboards & modeling tools for budget optimization and scenario analysis with DLB Associates
- Exploring options for graduate study in machine learning, energy systems, and sustainable business
“Data doesn’t just describe the world — it can help design the future we want.”
