
Research
Hello! I am a current MSc thesis researcher in the domain of graph signal processing with Prof. Geert Leus at the Signal Processing Systems Group at TU Delft in the Netherlands. I am also a recent graduate from the BEng Honors Electrical Engineering program at McGill University in Montreal, Canada. My broader research interests are in the intersection of machine learning, statistics, optimization and signal processing applied to graphs.
Current
My master’s thesis work involves applying Kalman Filters to the graph topology identification problem providing a method to learn graphs in a dynamic and online (real-time) setting. It extends upon optimization and graph signal processing theory. As the current research focuses on a linear graph filter, it may also be extended to non-linear dynamic processes and to graph neural networks. This work is directly applicable in modeling and prediction algorithms for high frequency trading, the diagnosis of mental health disorders via fMRI imaging data, and dynamic remote sensing applications such as detection of forest fires.