Swee Hong Chan

Professor Swee Hong Chan is pursuing advances in the fields of combinatorics and probability as an Assistant Professor in Mathematics at Rutgers University-Camden. His scholarly endeavors are primarily centered around the study of inequalities that arise from partially ordered sets and the intriguing dynamics of random walks in random environments. Through his research, Professor Chan seeks to unravel complex mathematical phenomena and contribute to the broader understanding of these intricate areas. In addition to his research, Professor Chan is deeply committed to mentoring the next generation of mathematicians. During the DIMACS REU 2022 program, he had the opportunity to guide Molly MacDonald from the University of Notre Dame. Under his mentorship, MacDonald embarked on a project exploring the sorting probability for linear extensions. Her research aimed to establish an inequality related to chains of elements, making significant strides towards addressing the renowned 1/3-2/3 Conjecture. Professor Chan's dedication to both research and mentorship reflects his passion for fostering academic growth and innovation. His work not only advances theoretical understanding but also inspires students to engage deeply with mathematical challenges. Through his contributions, he continues to shape the landscape of combinatorics and probability, leaving a lasting impact on the academic community.