I am a sea-going scientist who blends fieldwork with programming in Python to study the impact of increasing anthropogenic CO₂ on the ocean's carbon cycle. My primary area of expertise is the impact of global change on the biological carbon pump and the ocean's carbon sink. I also enjoy developing software tools to streamline ocean data analysis.

As a researcher at the Laboratoire d'Océanographie de Villefranche (CNRS-SU) in the European TRICUSO project, my role is to leverage innovative technologies to improve our understanding of air-sea interactions. My work involves evaluating the performance of acoustic sensors on BGC-Argo floats to estimate wind speed and precipitation and using these measurements to refine air-sea CO₂ flux quantification through data analysis, algorithm comparison, and OSSE simulations.

The rapid increase in atmospheric carbon dioxide (CO₂) driven by human activities, such as fossil fuel combustion and cement production, is one of the most pressing challenges for our planet. Rising CO₂ levels not only contribute to global warming but also disrupt the ocean’s delicate balance by altering its carbon cycle. These changes affect processes like the biological carbon pump, which plays a vital role in sequestering carbon and regulating Earth's climate.

Understanding how these processes respond to and interact with anthropogenic CO₂ is essential for predicting future climate scenarios and guiding mitigation strategies. Below, the iconic Mauna Loa CO₂ record illustrates the relentless rise in atmospheric CO₂ and its connection to human activities, serving as a critical reminder of the need for scientific inquiry and action. 

Black Curve: Seasonally adjusted monthly average atmospheric carbon dioxide concentration versus time at Mauna Loa Observatory, Hawaii (20 °N, 156 °W) where CO₂ concentration is in parts per million in the mole fraction (p.p.m.). The line through the dots is a spline fit to the data.

Red Curve: Fossil fuel trend of a fixed fraction (56%) of the cumulative industrial emissions of CO₂ from fossil fuel combustion and cement production. This fraction was calculated from a least squares regression fit of the fossil fuel trend to the observation record. This fit is the equation a + b*f where a is the intercept of 296, and b is the slope of 56%.

Data from Scripps CO₂ Program.