I am a Machine Learning researcher, currently pursuing a PhD at the École Polytechnique Fédérale de Lausanne (EPFL) with Prof. Pierre Vandergheynst. My main research interest is the modeling, analysis, and understanding of structured data. Data structured by networks, such as brain activity supported by neural connections, or manifolds, such as the temperature and wind fields on the Earth. To this end I am developing Deep Learning to leverage that structure, often modeled as a graph. In my research, I draw from theoretical insights and practical needs to develop principled methods—and strive for impactful applications by co-leading interdisciplinary research efforts. Besides research, I teach Data Science and Machine Learning (with graphs).