Greetings, I am Jiahe (Stephen) Ling! My interdisciplinary background bridges computer science, statistical modeling, and operations research, supported by formal training in database systems & distributed computing, data modeling, and optimization. I spent a few years working on social computing and transportation-related topics, exploring data-driven methods to address complex challenges. Currently, I mainly focus on transportation analytics, with an emphasis on time series forecasting and supply chains.
Area of Interest: Time Series, Transportation Analytics, Operation Research
Links: [Research] [Projects] [Blogs] [Notes] [Photographs]
My research spans transportation systems, time series modeling, and social computing. Earlier in my journey, I conducted research in social computing, transportation safety, and statistical modeling of temporal and environmental data, leading to several publications. Building on this foundation, my current work focuses on applying operations research and advanced analytics to optimize transportation systems.
I have developed a diverse portfolio of projects spanning data visualization & analysis, machine learning, and operations research. During my undergraduate studies at UW-Madison, I worked on a variety of applied projects involving data-driven decision-making, process optimization, and computational modeling across domains such as transportation, quality inspection, fraud detection, and user behavior analysis. At the University of Chicago, my graduate projects focused on advanced statistical modeling and computational methods, including developing probabilistic models, implementing optimization algorithms, and applying deep learning techniques to complex datasets.