Ruojun Huang

Ruojun Huang is a Courant Instructor at the Department of Mathematics within the Courant Institute of Mathematical Sciences at New York University. He earned his Ph.D. in 2017 from Stanford University, advised by Prof. Amir Dembo. His research focuses on probability theory, random processes, and stochastic analysis, with a particular emphasis on random walks, recurrence/transience properties, heat kernel estimates, and Markov processes.

Education:

• Ph.D. in Mathematics, Stanford University, 2017 (Advisor: Amir Dembo)

Research Interests:

• Probability Theory
• Random Processes
• Stochastic Processes
• Graph Theory
• Stochastic Control

His work explores dynamic systems, including studies on random walks in evolving environments, IDLA cluster behavior, and time-dependent conductance models.

Recent Articles Trends: A focus on advancing analytical techniques for stochastic systems, particularly in understanding recurrence properties of growing graphs and clusters, heat kernel behavior under time-varying conditions, and algorithmic approaches to stochastic control problems.

Teaching: Taught Algebra and Calculus (Section 001) in the College of Arts and Science at NYU during Fall 2017.

Grants & Advising: No specific grants or advisees listed, though his research collaborations include prominent figures like Amir Dembo and G. Papanicolaou. No lab affiliations explicitly mentioned.