My research primarily focuses on Artificial Intelligence and Machine Learning, with a specific emphasis on Deep Learning and Graph Neural Networks (GNNs). I explore representational learning and the application of heterogeneous graph neural networks to solve complex optimization challenges, such as the scalable asymmetric traveling salesman problem (ATSP). Additionally, my work encompasses the practical applications of deep learning in predictive modeling and computer vision.