New employees at Mathematical Sciences

A presentation of our newly employed colleagues.

William Bergquist

PhD student at the Division of Applied Mathematics and Statistics

Start date: September 1, 2026

Anandh Krishhna Murichatta

PhD student at the Division of Analysis and Probability

Start date: September 1, 2026

André Laestadius

Senior Lecturer at the Division of Analysis and Probability

Start date: September 1, 2026

Caitlyn Saunders

PhD student at the Division of Applied Mathematics and Statistics

Start date: September 1, 2026

James Butler

Postdoctor at the Division of Applied Mathematics and Statistics

Start date: September 1, 2026

Guangyu Wu

Postdoctor at the Division of Applied Mathematics and Statistics

Start date: September 1, 2026

Nils Grimbeck

PhD student at the Division of Applied Mathematics and Statistics

Start date: September 1, 2026

Nuri Sechkin

Project Assistant at the Division of Applied Mathematics and Statistics

Start date: August 20, 2026

Ikuya Kaneko

PhD student at the Division of Applied Mathematics and Statistics

I am a PhD student in number theory working under the supervision of Anders Södergren. My research interests lie at the intersection of analytic number theory, automorphic forms, and ergodic theory

Start date: August 15, 2026

Wanmin Liu

Part-time fixed-term teacher at the Division of Algebra and Geometry

Start date: August 1, 2026

Photographer: Setta Aspström

Anna Holmlund

Postdoctor at the Division of Algebra and Geometry (Akelius Math Learning Lab)

I am a postdoctoral researcher at Chalmers and part of the Akelius Math Learning Lab, where we develop and analyse teaching materials in mathematics. My research focuses on algebra teaching in lower and upper secondary school, with a particular interest in how pupils' awareness of structures in linear equations is affected by irrelevant aspects, such as the presence of decimals or negative numbers. The research is practice-based and combines qualitative and experimental methods, with the goal of both contributing ideas for teaching and investigating more general questions about how pupils learn mathematics.

Start date: June 17, 2026

Simon Jacobsson

Simon Jacobsson

Doctor at the Division of Algebra and Geometry

Kähler manifolds have a rich structure that unites complex, Riemannian, and symplectic geometry. If such a manifold also solves Einstein field equations in vacuum, it is called Kähler-Einstein. My project is about simulating physical systems on analytic manifolds where a Kähler-Einstein structure arises emergently. The main tool comes from geometric fluid dynamics and makes it possible to lift the simulation from the analytic manifold to an associated Lie algebra. Previously, I have researched the geometry of matrices with fixed rank, which form a submanifold of the surrounding linear space of matrices.

Start date: June 1, 2026

Hassan Mugabo

PhD student at the Division of Applied Mathematics and Statistics

Start date: May 15, 2026

Andreas de Boer Moran

Akelius Math Learning Lab

Start date: April 27, 2026

Namita Verma

Trainee at Akelius Math Learning Lab

Start date: April 1, 2026

Aman Zare

Doctor at the Division of Applied Mathematics and Statistics

Start date: March 1, 2026