With the help of mathematical models and statistics I try to tackle ecological questions ranging from molecular up to global scales. During my PhD, I developed statistical techniques and software to improve the performance of ultrahigh-resolution mass spectrometry and derived new ways to link the composition of dissolved organic matter to biotic and abiotic factors.
Wu Sun is a Postdoctoral Research Associate in Michalak Lab. His research aims to understand patterns and variability in terrestrial photosynthesis through the synergy between observations and process-based models. He is currently using geostatistical approaches to constrain the patterns of photosynthesis in North America.
Enrico is a Postdoctoral Research Scientist for the Carnegie Institution for Science, Department of Global Ecology at Stanford University. His research aims to understand the physics of wind power extraction for regional-scale wind farms. Enrico is investigating the efficiency of large wind farms and which physical parameters control their power extraction.
David Farnham is an environmental engineer and hydroclimatologist interested in how climate affects our engineered water and energy systems. David’s work can broadly be described as the development of statistical models to estimate and/or predict climate risks at time scales ranging from daily to seasonal to multi-decadal.
Lei Duan's research topic is about modeling the climate response to external forcing, especially the global scale geoengineering schemes during his PhD. At Carnegie, he will continue working on climate simulations and also helping with the energy modeling work in Ken Caldeira's group. He had a wonderful experience when he was here previously, and feels happy to come back and work with everyone in Carnegie.
Manoela Romanó de Orte is a Postdoctoral Research Scientist in in the Caldeira Lab at the Carnegie Institution for Science's Department of Global Ecology. She is a marine scientist, studying the fate and the effects of pollutants in the coastal environment. Her research considers traditional pollutants, such as heavy metals, alongside emerging contaminant threats.