Stockholm Mathematics Centre Prizes for Excellent Doctoral Dissertations and Master Theses 2024/2025

Excellent Master Theses

Leo Levenius

Den Cramérska assuransmatematiken
Advisor: Filip Lindskog

Leo Levenius is awarded the SMC prize for his excellent master’s thesis Den Cramérska assuransmatematiken, which studies Harald Cramér’s contributions to insurance mathematics. Harald Cramér played a significant role in the development of 20th-century mathematical statistics and insurance mathematics, and the thesis elegantly presents, extends, and illustrates some of his historical works in a manner that is accessible to a modern readership.
Leo Levenius' master thesis on DiVA

Abir Myllymäki

An Interpretable and Comprehensive Machine Learning Study of ADHD Symptom Severity from Cognitive Tasks and Chronotype
Advisor: Chun-Biu Li

Abir Myllymäki has taken on the difficult yet important task of predicting the severity of ADHD symptoms based on responses to a standardized questionnaire. She conducted a comprehensive and meticulous study in which an impressive array of modern tools was employed to achieve a desirable level of accuracy. The thesis elucidates the challenges and limitations of the available data in an insightful, methodologically reflective, and pedagogically clear manner.
Abir Myllymäki's master thesis

Paulina Treskog

Optimization of Dynamic Collimator Rotation Trajectories in Volumetric Modulated Arc Therapy
Advisor: Anders Forsgren

Paulina Treskog is awarded the SMC prize for her excellent master thesis in optimization and medical technology. In her thesis, she develops methods for optimizing dynamic collimator rotation trajectories in radiation therapy, combining shortest-path optimization and geometric modeling, taking into account clinical constraints. The thesis is very well written, demonstrates high mathematical maturity, and addresses a problem of clear practical and societal importance.
Paulina Treskog's master thesis on DiVA (to appear)

Excellent Doctoral Dissertations

Federica Milinanni

Large Deviation Analysis of Markov Chain Monte Carlo Methods and Algorithmic Advances for Uncertainty Quantification in Neuroscience
Advisor: Pierre Nyquist, Olivia Eriksson, Andrei Kramer

Federica Milinanni is awarded the SMC prize for her excellent doctoral dissertation, which features important advances in applied mathematics, computational statistics, and probability theory, with applications to brain modelling. The thesis is notable for its substantial contributions to both theoretical foundations and practical implementation, including proving the first large deviation results for important classes of Metropolis-Hastings algorithms.
Federica Millinanni's doctoral dissertation on DiVA

Sven Sandfeldt

Higher rank dynamics on nilmanifolds
Advisor: Danijela Damjanovic

Sven Sandfeldt is awarded the SMC prize for his excellent doctoral dissertation, dealing with rigidity phenomena, higher rank actions, and dynamics on nilmanifolds. The thesis is particularly notable for the breadth of techniques involved, combining methods from dynamics, analysis, representation theory, geometry, and the algebraic theory of nilmanifolds in an effective and original way.
Sven Sandfeldt's doctoral dissertation on DiVA