Shruti’s main focus is understanding chaotic interactions within weather and climate systems using statistical tools. Her current application area is land-climate interactions where anthropogenically forced interactions give key insight to planning for future adaptation and mitigation options.
She previously worked at MeteoSwiss in developing the Swiss thunderstorm forecasting system using statistical learning. She earned her masters degree in Atmospheric and Climate Sciences at ETH Zürich and bachelors degree in joint Mathematics and Earth Sciences from Amsterdam University College.
- Peer reviewed
- Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies Max Callaghan, Carl-Friedrich Schleussner, Shruti Nath, Quentin Lejeune, Thomas R. Knutson, Markus Reichstein, Gerrit Hansen, Emily Theokritoff, Marina Andrijevic, Robert J. Brecha, Michael Hegarty, Chelsea Jones, Kaylin Lee, Agathe Lucas, Nicole van Maanen, Inga Menke, Peter Pfleiderer, Burcu Yesil and Jan C. Minx, Nature, (2021)