Rosa Lab

Chenchen is a Postdoctoral Research Fellow at Carnegie Institution for Science. Her research aims to investigate the interaction between water and nitrogen in agriculture under climate change and explores solutions to adapt agriculture to climate change. Her research involves statistical analysis, including fixed effect model, multiple regression model, and structural equation model. She holds a Ph.D. in Land Resource Management from Zhejiang University.

Liyin He is a Postdoctoral Research Fellow at Carnegie Institution for Science. Her research aims to study global warming influences on crop yields and the related solutions to achieve sustainable food systems. Her research involves multi-source data analysis, including flux tower measurements, remote sensing, climate models and predictive analytics. Liyin holds a Ph.D. in Environmental Science and Engineering from California Institute of Technology.

Pietro Marconi is a master’s student in Atmosphere and Energy Engineering at Stanford University and a Visiting Student at Carnegie Institution for Science. His research aims to quantify the technical potential of biomethane to offset natural gas, and the carbon dioxide emission reduction that can be achieved. He holds a bachelor in Civil and Environmental Engineering from the University of California Berkeley. 

Yannik Schüler is a master’s student in Mechanical Engineering at Stanford University and a Visiting Student at Carnegie Institution for Science. His research aims to quantify pathways to achieve net-zero ammonia production in the United States. He holds a bachelor in Mechanical Engineering and Business Administration at RWTH Aachen University in Germany. 

Davide Tonelli is a PhD student at the Univeristé Catholique de Louvain and the Université Libre de Bruxelles in Belgium and a Visiting Student at Carnegie Institution for Science. His research aims to quantify global land and water limits to electrolytic hydrogen production using wind and solar resources. He holds M.Sc. Energy Science and Technology from ETH Zurich. 

Paolo Gabrielli is a Senior Scientist at ETH Zurich, within the Institute of Energy and Process Engineering, and a Visiting Investigator at Carnegie Institution for Science. His research deals with the modeling, optimization and assessment of net-zero energy systems. His research assess possible strategies to enable net-zero carbon emissions in hard-to-abate sectors, focusing especially on the chemical industry. Paolo holds a Ph.D. from the Department of Mechanical and Process Engineering at ETH Zurich. 

Matteo Sangiorgio is an Assistant Professor in the Department of Electronics, Information and Bioengineering at Politecnico di Milano. His research mainly focuses on applying machine learning techniques to environmental systems, with special focus on forecasting and control tasks. His interests also include spatial data analysis and chaos theory. Matteo holds Bachelor and Master degrees in Environmental Engineering, and a PhD in Information Technology from Politecnico di Milano.