Nadia's research bridges the fields of climate science, paleoecology, and data science to investigate past climate changes and variability — insights that help improve our understanding of present-day climate dynamics and inform future projections. She uses biomarkers and geochemical proxies preserved in lake sediments, peats, soils, and stalagmites to assess how terrestrial and aquatic environments have responded to climate change across local to global scales. By combining paleoclimate data with outputs from climate model simulations and reanalysis products, she explores the mechanisms driving hydroclimate variability over time. Her work spans spatial scales from individual lakes to global systems and temporal scales from sub-seasonal (e.g., lake temperature modeling) to millennial timescales (e.g., long-term trends and teleconnections).