Welcome to my site!
Formally trained as an applied mathematician, I'm driven to uncover how biological systems work. Mathematics is a powerful tool that can succinctly capture the essence of a biological problem. Statistics is another powerful tool that can help extract knowledge from data. The combination of mathematics and statistics can lead to genuine insights into the inner workings of Nature.
Some of the problems I've been working on:
1) The elusive Redfield C:N:P ratio is one of the most expansive stoichiometric patterns on Earth. It is at the core of biogeochemical cycles of carbon (C), nitrogen (N), and phosphorus (P) - elements central to all life. In 1934, Redfield found that N:P ratio in the deep ocean is ~16, but no theoretical explanation was found. In 2011, James Elser and I provided the first theoretical explanation for where N:P=16 originates. How this pattern, originating on the macromolecular scale, gets established on the global scale has not been published yet, though I developed a model back in 2010. I'll publish it once I'm finished working with my other passion - CO2 impact on plant quality and human nutrition.
2) Predicted in 2002, and then showed in 2014, that rising atmospheric CO2 depletes essential minerals such as calcium, copper, iron, magnesium, phosphorus and zinc in a broad range of C3 crops and wild plants, and that the depletion is pervasive and systemic. This was made possible by data coming from plants raised in CO2 experiments by hundreds of researchers on four continents. Their collective efforts generated enough data making it possible to reveal the hidden pattern. Linked the shift in plant quality and stoichiometry to the quality of human nutrition, focusing on malnutrition ('hidden hunger') & obesity.
3) Macromolecular synthesis (proteins, nucleic acids, carbohydrates, lipids) and the global biogeochemical cycles.
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