Graduate Studies

Join one of the most vibrant and forward-looking graduate Mathematics programs in Canada.

Mathematics is a vital human endeavour that has important outcomes and applications in almost any field. The Mathematics Department at SFU brings together world-class research faculty in a collegial atmosphere. Students have the opportunity to learn, teach, and create new and advanced mathematics.

Featured Graduate Students

Fall 2023

PhD Student Omid Gheysar Gharamaleki

I am a Ph.D. student currently engaged in collaborative research between the BC Centre for Disease Control and Simon Fraser University. My research primarily focuses on developing Predictive Models for Tuberculosis (TB) patients. I utilize machine learning algorithms such as Balanced Random Forest, Bagging, XGboost, lightGBM, as well as deep learning approaches. The objective is to improve the identification of risk factors, thereby guiding targeted screening and preventive health policies. Additionally, I am leveraging Bayesian Inference and statistical modeling techniques to delve into the intricacies of infectious disease epidemiology. This research aids in strategic decision-making in public health and involves conducting outbreak simulations, estimating transmission trees, and integrating epidemic and genomic data for comprehensive outbreak control.

For more on my research see my website:

MSc Student Mina Moeini

The Intensive Care Unit (ICU) represents a specialized sector within a hospital setting, committed to offering advanced monitoring, precise therapeutic interventions, and highly specialized nursing care for patients facing critical medical conditions that demand rigorous medical supervision and support for essential physiological functions. Nonetheless, ICUs are often constrained by a finite availability of critical resources, such as beds, specialized nursing staff, and ventilatory equipment, among others. My work is focused on a Discrete Event Simulation model to analyze the operational dynamics of a network comprising eight major Intensive Care Units (ICUs) in British Columbia, Canada.

MSc Student Alexander Clow

The focus of my research is pure mathematics problems in graph theory and combinatorics, many of which have practical applications in computer science. These include graph colouring and homomorphisms (particularly for oriented graphs), the topological structure of graphs, pursuit evasion games, combinatorial games, and combinatorics of words. Going forward I aim to incorporate more extremal and spectral/algebraic tools and problems into my research program. Outside of this I am always on the lookout for more skills and tools that will improve the quality of my work.

For more on my research see my website:

Summer 2023

PhD Student MacKenzie Carr

I enjoy working on a variety of problems in graph theory. My current focus is the genus distribution of a graph, or the number of ways that a graph can be embedded in a surface of a given genus. I like the way this problem can be connected to generating functions and the root geometry of a polynomial. I also enjoy working on games on graphs and problems in graph colouring and graph convexity. Outside of research, I’m passionate about teaching mathematics and leading the Association for Women in Math Student Chapter. 

PhD Student Mahdi Salehzadeh

My Ph.D. study combines epidemiology, evolutionary biology, and computational fluid dynamics. I study bark beetles, which threaten worldwide forest ecosystems. I develop a new model for bark beetle outbreaks, refining earlier assumptions. By assessing various parameters, I aim to understand how to mitigate these destructive pests. During my MSc, I analyzed the fluid-structure interaction between a 2D model of a swimming jellyfish and its surroundings using the Immersed Boundary Method. Results showed the power-law dependence of undulatory swimmers extends to jellyfish using jetting propulsion. Lastly, I examined interactions between jellyfish, including repulsion forces and turning responses. My research establishes a foundation for future computational simulations of jellyfish swarms.

MSc Student Piyush Agarwal

My work focuses on estimating effective population sizes of infected population from viral sequences extracted from a sample of the infected populace. So you start from extracted viral sequences and end up with estimates about the size of the infected population. The existing methods are computationally limited and I am working on improving these methods to allow usage of tens of thousands of sequences. This is work done under Dr. Caroline Colijn and Dr. Cedric Chauve. 

Full list of all graduate students here

Graduate Quick Links

Meet Some of our Faculty Members


Area of Interest: I use mathematical and statistical tools to address questions at the intersection of evolution, ecology, and epidemiology. Infectious pathogens have important consequences for human and wildlife populations alike. I develop what are known as phylodynamic (phylogenies+ epidemiological dynamics) methods to understand and control ongoing epidemics. In particular, my research focuses on quantifying how both host and pathogen genetics shape disease spread and severity. In addition to this focus on emergent pathogens, by studying the genetics and evolutionary dynamics long-term associations between hosts and their infectious pathogens I strive to understand how these complex coevolutionary interactions shape the biological diversity of the natural world.

Dr. Ben Adcock, Professor, 2015 Sloan Research Fellow

Assistant Professor Ben Adcock was awarded the 2015 Sloan Research Fellowship for his outstanding accomplishments in the field of mathematics. “I work in computational math, at the intersection of numerical analysis, computational harmonic analysis, approximation theory and data science. I'm interested broadly in how we recover objects from data,” he explains. “A typical example is Magnetic Resonance Imaging, when you have an MRI scan, the machine acquires certain measurements, and then at the end of the process the MRI practitioner gets an image. I’m trying to make this recovery faster, by allowing you to take fewer measurements while at the same time producing better quality images.”

Adcock heads up a research group in the Department of Mathematics, working closely with postdocs and PhD, MSc and undergraduate students. “I think being open-minded and intellectually curious is very important—if you don't have that, then you will struggle to get far in research and academia,” he explains. “We do a range of things related to the group’s research. We all meet every two weeks, and I also meet with everyone individually. I like students to have different projects to work on. I like them to have variety,” he says.

In addition to his research, Adcock spends his time in the department lecturing. “I enjoy teaching a lot. I like seeing students work hard and learn new concepts. I especially enjoy seeing students develop and progress—I get a lot of satisfaction from that,” he explains. “I would like to dispel the myth that there's a huge dose of God-given talent in doing mathematics. A lot of what I do is about hard work.”

Outside of his work in the department, Adcock is an avid cyclist and hiker, taking advantage of the coastal mountains surrounding the campus.


Dr. Bojan Mohar is recognized as one of the leading discrete mathematicians in the world. He is a Canada Research Chair and his main area of research is Graph Theory, which has applications in theoretical computing. “I've worked on many different problems, resolved open problems and conjectures, and opened new areas of research with possible applications outside of mathematics,” he says. “One of my main subjects is Topological and Structural Graph Theory and that has a lot of applications in the design of algorithms.”

For Mohar, his work is full of variety and possibility. “I love it because there is always something new. You're learning all the time. You're uncovering new things and developing your own ideas. You can make a new theory or a new proof. It's very vibrant and it's very alive so you're never bored,” he explains.

Mohar has published widely, including a co-authored book that’s widely used in discrete mathematics and computer science. “I've done some pioneering work with the application of graphs and eigenvalues in the structure of Graph Theory and in optimization in computer science. Probably my most famous result is a very efficient algorithm for embedding graphs on surfaces,” he says.

As a leading research faculty in the department, Mohar works closely with graduate students and postdoctoral fellows. “We have a weekly meeting where we discuss any progress someone made or new and important results coming in that we need to get acquainted with,” he says. “Mathematics is collaborative. Even if you work by yourself on an open problem, it's always good to have someone you can explain your progress to. My students sometimes get joint work, or joint publication because they talk to each other.”


Area of Interest: My work is at the interface of mathematics and the epidemiology and evolution of pathogens. I hold an Canada 150 Research Chair in Mathematics for Evolution, Infection and Public Health. In my group we develop mathematical tools connecting sequence data to the ecology and evolution of infections. I also have a long-standing interest on the dynamics of diverse interacting pathogens. For example, how does the interplay between co-infection, competition and selection drive the development of antimicrobial resistance? To answer these questions, my group is building new approaches to analyzing and comparing phylogenetic trees derived from sequence data, studying tree space and branching processes, and developing ecological and epidemiological models with diversity in mind.


Area of Interest: Broadly, my research interests include quantum information & computation; nonlocality & contextuality; and operator algebras & noncommutative geometry. I am keenly interested in helping to elucidate the structural origins of computational and communicational advantages in both concrete quantum models and abstract postclassical models. These questions sit at the foundations of logic, computer science, and physics, and involve disparate areas of maths: e.g. algorithms & complexity theory, functional analysis, number theory, and category theory.

I previously worked at the Centre for Quantum Information and Foundations in the Department of Applied Mathematics and Theoretical Physics (a part of the Centre for Mathematical Sciences) at the University of Cambridge, in the group of Richard Jozsa FRS. I was a member of King's College.

Prior to this, I worked in the Department of Computer Science, UCL as the Researcher Co-Investigator of the EPSRC-funded project Contextuality as a resource in quantum computation: a collaboration between UCL and the University of Oxford headed by Simone Severini and Samson Abramsky FRS.

I spent a semester as a Visiting Scientist at the Simons Institute for the Theory of Computing at the University of California, Berkeley. Previously, I completed my DPhil in Computer Science in the Quantum Group (Logic, Foundations, and Structures), supervised by Samson Abramsky FRS and Bob Coecke, as a Clarendon Scholar at Merton College, University of Oxford. I completed my MSc in Mathematics and my BSc in Mathematics and Physics at the University of Toronto where my supervisor was George Elliott FRSC. In Toronto, I was a Visiting Member of the Fields Institute for Research in Mathematical Sciences, supported by NSERC Undergraduate Student Research Awards.


Canada Research Chair Dr. Paul Tupper develops mathematical tools for psychologists and linguists. “Mathematical modelling is looking at the world and looking at phenomena and trying to find a mathematical model that helps you to understand it,” he says. “It's very well developed for certain fields, like physics. Nowadays, linguists are getting more and more interested in quantitative things and so I've been able to establish connections with people in that field.”

One of Tupper’s interests is how people modify their speech in situations where they want to be more clearly understood. “There's this whole field of linguistics that studies what makes speech comprehensible. And there's applications for teaching English as a second language,” he explains.

In addition to his own research, Tupper spends his time teaching and meeting with students. “I really like math and I enjoy doing it—doing calculations and trying to figure things out. And I like people, so it's a good combination.”

Full list of all faculty members here