Michael Molloy is a Professor at the University of Toronto Scarborough in the Department of Mathematics. He specializes in areas located at the intersection of mathematics and computer science, focusing on topics within combinatorics and graph theory. His research includes analyzing the relationships and properties of mathematical structures in these disciplines. He has an extensive publication record that only validates his contributions to combinatorial optimization and complexity theory. His work often intersects with various applications in computer science, including algorithms and data structures. In addition to research, Professor Molloy is actively involved in teaching and mentoring students at both undergraduate and graduate levels, fostering a strong mathematical foundation and encouraging students to engage in mathematical problem solving and research. He also collaborates with colleagues on various mathematical research projects and contributes to the academic community through conferences and seminars.