My research interests are transversal to several topics in the multi-disciplinary field of data science, including, but not limited to, instrumentation and data acquisition, public data, machine-learning, and information visualization. My research is driven by curiosity, persistence, and a strong desire to leverage the potential of data to address different societal challenges like environmental sustainability, smart cities, and public health.
In the present, I am very interested in understanding the real world applicability of non-intrusive energy monitoring and eco-feedback technologies and my goals in this research field are twofold. First, assess how such technologies perform from a technological point of view (e.g., algorithms performance) when deployed outside of the laboratory settings. And, second, determine the value proposition of such technologies as tools for smartening the electric energy grid hence reducing its carbon footprint.