About Me
My expertise includes the development of novel graph learning algorithms, which form the foundation of my ongoing research in health data analytics and the application of knowledge graphs to optimize decision-making processes within the healthcare sector.
Driven by a commitment to lifelong learning and a deep curiosity about the technological advancements shaping our world, my work spans various fields, including refined machine learning methods, recommender systems, and anomaly detection. I place particular emphasis on graph-based approaches to solve complex, real-world challenges.
I maintain a balanced lifestyle through activities like martial arts, regular exercise, and hiking in nature. These pursuits help me sustain the creativity and focus necessary to tackle the challenges in my field.
There is always more to learn, more to discover, and more to achieve—no limits, no boundaries.
Research Interests
my interests are Knowledge Representation and Reasoning (KRR), Machine Learning, Health Informatics, Data mining, Graph learning, Matrix Computation, and Complex networks