Amadou Keita - PhD Mathematics 2026
"I graduated with a Ph.D. in Mathematics from the University of Windsor in 2026. My doctoral research focused on the computational construction and classification of mutually orthogonal Latin squares, a topic in combinatorics that combines theoretical mathematics with computational methods.
My experience in the Ph.D. program was intellectually rewarding and personally enriching. I particularly valued the opportunity to investigate challenging open problems, develop computational techniques, and explore the intersection of mathematics and computer science. Presenting my research at seminars, attending conferences, and engaging in discussions with other researchers also contributed significantly to my academic development.
I am especially grateful to my advisors, Curtis Bright and Ilya Shapiro, and my de facto advisor, Brett Stevens of Carleton University, for their mentorship, encouragement, and constructive feedback. Curtis Bright provided invaluable guidance in mathematical writing, programming, and SAT-based computation. He also facilitated my access to the Digital Research Alliance of Canada’s advanced computing resources, which, together with the computing facilities of the Department of Computer Science at the University of Windsor, played an important role in carrying out my computational research. Ilya Shapiro helped me develop greater precision and discipline in mathematical communication and research, while Brett Stevens provided consistent guidance and encouragement, helped shape my research direction, and remained committed to my academic growth. Their combined support had a lasting impact on my doctoral journey.
The program strengthened my skills in mathematical problem-solving, algorithm design, programming, computational research, and independent investigation. In particular, my research taught me how to translate abstract mathematical problems into computational models, develop rigorous mathematical arguments, and use computational tools to construct and verify results. These skills have prepared me for my career in academia, particularly in research, teaching, and mentoring future mathematicians.
I am also grateful to Ilya Shapiro, Dennis Borisov, and Edward Timko for encouraging me to give seminars and providing opportunities to strengthen my mathematical exposition through practice and constructive feedback. These experiences helped me communicate complex mathematical ideas more clearly and develop greater precision in my reasoning and presentation. The department’s supportive faculty, stimulating academic environment, and responsive administrative staff all contributed to making my doctoral studies a fulfilling experience.
I would encourage prospective students interested in mathematics to consider the University of Windsor. The program provides opportunities to pursue challenging research, develop independence as a scholar, and benefit from dedicated mentorship, collaborative academic engagement, and valuable computational resources. My time at Windsor has been instrumental in shaping me as a mathematician, researcher, and educator, and I remain deeply appreciative of the department’s contribution to my academic and professional development."
Caleb Asamoah Temeng - MSc Statistics 2025
"My experience in the program was both academically rewarding and personally transformative. The program provided me with an opportunity to deepen my understanding of mathematics and statistics while developing the ability to apply statistical methods to real-world problems. One of the most memorable aspects of my graduate experience was conducting research in statistical methodology, which challenged me to think critically, work independently, and develop solutions to complex problems.
I was also fortunate to learn from and work with faculty members who were supportive throughout my graduate studies; honorable mention to my supervisor, Dr. Sudhir Paul and Dr. Kevin Granville. Their guidance and feedback played an important role in my academic and professional development. The Teaching and Research Assistant opportunities were particularly valuable, as they allowed me to strengthen my communication, teaching, teamwork, and leadership skills while supporting undergraduate students and contributing to departmental activities.
I would highly recommend the Mathematics and Statistics graduate programs at the University of Windsor to prospective students who are looking for a supportive academic environment, strong research opportunities, and the opportunity to develop skills that can be applied across a wide range of careers. My time in the program was an important part of my academic journey, and I am grateful for the knowledge, experiences, and relationships I gained along the way."
Mai Ghannam - PhD Statistics 2023
"My overall experience in the program was excellent, thanks to supportive professors and a welcoming environment. I gained invaluable skills in critical thinking, scientific presentation, and academic writing, which have been essential for my role as a math instructor. My PhD advisor provided crucial guidance, and the department’s support helped me secure scholarships that eased my financial burden.
The program helped me to earn the prestigious CANSSI Ontario Postdoctoral Fellowship at the University of Ottawa and University of Toronto. I am currently back at the University of Windsor as an instructor at the Department of Mathematics and Statistics. I highly recommend this program to anyone passionate about math—it offers fantastic learning opportunities and connections with inspiring individuals."
Yunhong Lyu - PhD Statistics 2023
"My experience in the graduate program was exceptional, thanks to its rigorous curriculum covering a broad range of statistical topics. The engaging classes, expert professors, and their approachable nature provided invaluable guidance throughout my research. My supervisor's mentorship significantly enhanced my critical thinking and problem-solving skills.
The program equipped me with essential skills in statistical financial modeling and professional programming languages like R, SAS, and STATA, which are crucial for my current postdoctoral research. I also gained valuable experience in research dissemination through conference presentations and co-authoring peer-reviewed papers.
The support I received helped me secure a postdoc position at the University of Montreal, and I’m excited to begin my role as an Assistant Professor at Trent University in December 2024. I highly recommend the Department of Mathematics and Statistics for its unique combination of academic rigor, practical experience, and dedicated faculty, all of which prepare students for successful careers in both industry and academia."