Kun Wang

Kun Wang is an Instructional Assistant Professor in the Department of Mathematics at Texas A&M University, within the College of Arts & Sciences. His research spans operator algebras, applied mathematics in energy technology, and mathematics education. He teaches undergraduate courses such as Differential Equations and Business Calculus, and actively engages in outreach through programs like the TAMU Math Circle and the PReMa research initiative for high school students.

Research Interests:

• Operator Algebras and C*-Algebra Classification
• Applications of Variational Inference in Credit Risk Modeling
• Plasma Processing Technology for Heavy Oil Upgrading and Hydrogen Production
• Mathematics Education and Outreach

Recent Publications: His work includes cutting-edge studies on heavy oil upgrading via plasma and electron beam technologies, interdisciplinary applications of operator algebras, and Bayesian methods in financial risk analysis. These reflect a blend of pure mathematics and applied energy research.

Outreach and Teams: As director of PReMa and a leader in TAMU Math Circle, he mentors students in advanced topics like linear algebra, combinatorics, and AI. His efforts bridge academic research with community engagement.