About Me

My research strives to develop resource-efficient decision-making algorithms that optimize modern networked applications while saving key operational costs such as sample collection, energy consumption, communication overhead, and computational complexity. Resource constraints are especially critical in many increasingly prevalent domains such as environmental monitoring, Internet of Things networks, and quantum networks where scalability, efficiency and reliability are paramount. To tackle these challenges, I focus on establishing the theoretical foundations of resource allocation, network science, and sequential decision-making theory, especially multi-armed bandits (MAB) and quickest change detection (QCD), and translating these theories into algorithmic solutions applicable to practical systems.

During my doctoral training at UMass Amherst, I have been fortunate to be advised by Prof. Don Towsley, to work closely with Prof. Mohammad Hajiesmaili (UMass) and Prof. Venu Veeravalli (UIUC), and to intern with Dr. Laurent Massoulié at INRIA Paris. Earlier, during my undergraduate studies at CUHK, I had a wonderful time working with Prof. John C.S. Lui and interning with Dr. Konstantin Avrachenkov at INRIA Sophia Antipolis.

Outside of research, I enjoy skiing, playing tennis, and spending time with my cat.