Tianshu Feng

Tianshu Feng is an esteemed Assistant Professor in the Department of Systems Engineering and Operations Research at George Mason University's Volgenau School of Engineering. With a keen interest in data-driven research, Tianshu focuses on processing, visualizing, analyzing, and modeling complex data features. His work is characterized by interdisciplinary collaborations that span diverse fields such as transportation, bioinformatics, healthcare, and finance. Tianshu's research interests are broad and encompass machine learning, statistical modeling, and explainable AI. He is particularly passionate about model fairness and robustness, data exploration, and active learning. These interests drive his pursuit of innovative solutions to complex problems, ensuring that his research remains at the forefront of technological advancements. Before his tenure at George Mason University, Tianshu honed his skills as a Quantitative Analytics Specialist at Wells Fargo. This role provided him with valuable industry experience, which he now integrates into his academic endeavors. His professional background enriches his teaching and research, offering students a practical perspective on theoretical concepts. Tianshu Feng holds a PhD in Industrial Engineering from the University of Washington, where he developed a strong foundation in research methodologies and advanced analytical techniques. He also earned a Bachelor's degree in Statistics from the University of Science and Technology of China, which laid the groundwork for his expertise in data analysis and statistical modeling. In addition to his academic and professional achievements, Tianshu is dedicated to fostering a collaborative learning environment. He actively engages with students and colleagues, encouraging the exchange of ideas and the development of innovative research projects. His commitment to education and research excellence makes him a valuable asset to the George Mason University community.