DC 2 – Aarhus University, Denmark
Mudit Joshi is a PhD researcher at Section of Ecoinformatics and Biodiversity in Aarhus University, funded by the Marie Curie Doctoral Network AGRI-DRY. His research focuses on how climate change is transforming agriculture, ecosystems, and food security in an era of unprecedented environmental shifts. By employing mathematical simulations, climate reconstructions, and crop growth models, Mudit investigates how historical agricultural systems adapted to changing climates and how these insights can guide future resilience.
Mudit’s expertise lies at the intersection of science, technology, and sustainability. He specializes in simulation modeling, data science methodologies, and applying computational tools, machine learning, and statistical models to analyze complex environmental systems. His academic journey includes contributions to projects at Kiel University, ETH Zurich, and GBPUA&T India, where he worked across disciplines to transform data into actionable strategies for climate adaptation and sustainability.
With a passion for understanding the Earth system, climate change, and biodiversity, Mudit aims to turn uncertainty into data-driven strategies that support sustainable futures.
AGRI-DRY Project:
Modelling key crop environmental niches and productivity over the Holocene.
Mudit’s PhD project focuses on reconstructing the environmental niches and productivity of key dryland crops during the Holocene. The research aims to assess how climate fluctuations have historically shaped these crops’ distributions, yields, and long-term viability, while also exploring how future climate scenarios might impact their resilience.
The study primarily targets the dryland regions of the Mediterranean Basin, North Africa, the Sahara, and Southern Africa — areas where early agricultural systems developed under diverse environmental challenges. By understanding the historical constraints and adaptation strategies of these crops, the project aims to inform climate change mitigation efforts and support food security in vulnerable dryland areas.
AGRI-DRY 