A presentation of our newly employed colleagues.

Yanbo Fang
Postdoctor at the Division of Algebra and Geometry
I do research mainly in some aspects in Arakelov arithmetic geometry and (p-adic and complex) analytic geometry; sometimes distracted by curiosity on other topics. I have been in China, France, Regensburg and Aarhus at various stages.
Start date: September, 2026
Mihály András Csirik
Researcher at the Division of Analysis and Probability
Start date: September 1, 2026

Rémi Delloque
Postdoctor at the Division of Algebra and Geometry
I am interested in finding metrics on complex fibre bundles with a special curvature form. It boils down to finding necessary and sufficient conditions for an elliptic PDE to admit a solution. During my PhD thesis, I worked on smooth objects (complex manifolds, vector bundles, etc.). As a post-doctoral student under the supervision of Lars Martin Sektnan, I am now interested in the same problem with singular objects (analytic spaces, coherent sheaves, etc.).
Start date: September 1, 2026

Victor Amberger
PhD student at the Division of Algebra and Geometry
My name is Victor, I am a PhD student in analytic number theory under the supervision of Professor Myerson at Chalmers. Currently I am most interested in estimates for L-functions near the 1 line and zero free regions.
Start date: September 1, 2026

William Bergquist
PhD student at the Division of Applied Mathematics and Statistics
I am a PhD student working in the division of applied mathematics and statistics with Malin Rau as my supervisor. In our research, we aim to develop approximation algorithms for various optimization problems, primarily those related to scheduling and packing such as strip- and bin packing.
Start date: September 1, 2026

Florian Fleischmann
PhD student at the Division of Applied Mathematics and Statistics
My name is Florian, I am a PhD student supervised by Anders Logg. I will be working on AI 3D city modelling within the Digital Twin Cities Centre. With a background in differentiable rendering, my current research interests lie in the optimization of geometry and efficient geometry processing.
Start date: September 1, 2026

Anandh Krishna Murichatta
PhD student at the Division of Analysis and Probability
My name is Anandh, and I am a doctoral student in the Division of Analysis and Probability, working under the supervision of Thomas Bäckdahl. My research focuses on mathematical aspects of general relativity, particularly with two-component spinor approaches and more broadly on the geometry and analysis of spacetimes.
Start date: September 1, 2026
André Laestadius
Senior Lecturer at the Division of Analysis and Probability
My research lies at the intersection of mathematical analysis and quantum mechanics. I primarily work on mathematical questions in density-functional theory (DFT), using tools from, among other areas, convex analysis and variational analysis. A particular focus of my current research is Moreau–Yosida regularization and how it can be used to further develop the mathematical foundations of DFT. I also lead the ERC project REGAL, in which we develop new mathematical methods for studying fundamental questions in DFT.
Start date: September 1, 2026

Lyn Saunders
PhD student at the Division of Applied Mathematics and Statistics
My name is Lyn, and I am a PhD student in the Applied Mathematics Division working under the supervision of Eszter Lakatos. My research goals are to explore how applied mathematics can be used to better understand the tumour microenvironment and improve cancer immunotherapy. I am particularly interested in modelling tumour–immune dynamics using PDEs and SDEs, with applications to clinical data. Before joining Chalmers, I studied in York, Madrid, and St Andrews.
Start date: September 1, 2026

James Butler
Postdoctor at the Division of Applied Mathematics and Statistics
James’ research centers on developing AI models for applications in the life sciences. He is currently developing transformer-based models for antimicrobial resistance (AMR) and cheminformatics research. His previous work explored generative models and transformer-based sequence learning for microbiome analysis.
Start date: September 1, 2026

Guangyu Wu
Postdoctor at the Division of Applied Mathematics and Statistics
Guangyu Wu is a researcher working on stochastic filtering, distributional control, and learning‑based control with rigorous theoretical guarantees. He has developed consistent non‑Gaussian Bayesian filtering frameworks based on power and generalized logarithmic moment parametrization, mitigating the dimensionality limitations of prevailing particle filters. His research further includes distributional control for multi‑agent systems, multi‑dimensional extensions, and quantitative error‑bound analyses for rational covariance extension problems. His ongoing research focuses on theoretically guaranteed parametric inverse optimal control. He earned his Ph.D. from Shanghai Jiao Tong University under the supervision of Professor Anders Lindquist and previously held the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship at Nanyang Technological University, Singapore.
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
I am an architect and urban designer, currently a project assistant at the Digital Twin Cities Centre. My work focuses on what a city model should be asked to do, and on the gap between what it can represent and what a design decision actually needs. I hold an M.Sc. in Sustainable Urban Planning and Design from KTH and worked in practice before coming to Chalmers.
Start date: August 20, 2026

Daniel Lüpnitz
PhD student at the Division of Applied Mathematics and Statistics
I am a PhD student under the supervision of Annika Lang, working within the StochMan project. My interests lie in the areas of stochastic modelling and spatial statistics. I recently completed my M.Sc. in Mathematics at TU Dresden.
Start date: August 19, 2026
Ikuya Kaneko
PhD student at the Division of Algebra and Geometry
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
I am a part-time fixed-term teacher (timlärare) in mathematics at the Department of Mathematical Sciences. I mainly teach mathematics education. I am a certified upper secondary school teacher and hold a PhD in Mathematics. My research interests include algebraic geometry.
Start date: August 1, 2026

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
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
