Women in mathematics

As a department, we are strongly committed to equality and diversity, and the success of our female mathematicians, be they staff or students.

We hold a bronze Athena SWAN award, demonstrating our commitment in this area, and showing the way forwards to a more diverse future.

Mathematics and its applications have never been more important to society, nor has the diversity of places of work and study. At The University of Manchester, we pride ourselves on the diversity of our student population, where we have consistently ranked above the national averages in the gender diversity of our undergraduate, master's and research postgraduate students in mathematics.

Our mentoring scheme supports women and minority gender students throughout their studies.

We are constantly striving to improve the mix within our staff and student communities, where it has been consistently shown that diverse workplaces are happier and more productive.

Meet our doctoral researchers

Irene Garcia Munoz

My PhD research focuses on how infectious diseases spread in various settings.

Read more about Irene

I studied mathematics at the University of York, completing both my undergraduate and master’s degrees in applied mathematics.

Since then, my research has focused on understanding how infectious diseases spread in various settings, with a particular emphasis on care homes and households. These environments are especially interesting because they combine elements of both closed and open populations. I aim to capture how infections move within such settings and what factors drive the persistence or decline of outbreaks.

By developing models to explore these dynamics, I hope to contribute insights that can inform public health strategies. My next goal is to publish my first article and share these findings more widely.
Zahra Seyedi Lahroudi

My PhD is on Joint Modeling of Longitudinal and Time-to-Event Data.

Read more about Zahra

I have recently joined Manchester to do my PhD on the topic “Joint Modeling of Longitudinal and Time-to-Event Data”.

Completing a course in longitudinal analysis was a transformative experience that helped me understand the connections between longitudinal data and spatial statistics. This reinforced the complementary nature of these fields and drove my interest in joint modeling of longitudinal and time-to-event outcomes. I consider this approach crucial for research, as it can offer significant insights into health-related issues.