Open to opportunities

Lydia Dipaola

@lydiadipaola

Message

I build machine-learning and geospatial workflows for weather and environmental decisions.

United States

Message

What I'm looking for

I'm looking to apply machine learning, geospatial analytics, and reproducible data workflows to weather, environmental, coastal, or remote-sensing problems, including remote opportunities.

I've built reproducible environmental data workflows at the University of New Orleans, supporting a $21 million shoreline protection project with Jean Lafitte National Historical Park and Preserve. Using satellite imagery, field data, GIS, and statistical modeling, I quantified shoreline change and developed a Change Polygon Approach to compare coastal change across annual, cumulative, and storm-event timescales.

I've also developed supervised machine-learning models with NOAA data to predict high-impact weather events and coastal water levels. My work combines Python, SQL, R, geospatial analytics, remote sensing, feature engineering, model validation, and scientific communication, and has been supported by a $10,000 NASA/NOAA-funded fellowship and a peer-reviewed publication.

Experience

Work history, roles, and key accomplishments

Graduate Researcher

University of New Orleans

Aug 2023 - May 2025 (1 year 9 months)

Led an independent environmental data science project supporting a $21 million shoreline protection project, analyzing geospatial and environmental data to quantify shoreline change. Developed a novel Change Polygon Approach and applied statistical modeling to evaluate storm impacts.