Marthe Olivia Forus
Master's Student
University of Michigan (UMich)
martheoliviaforus(at)gmail.com
Education
  • University of Michigan
    University of Michigan
    Aug. 2025 - present
    M.S. Mathematics
    Ann Arbor, MI
    Student
  • University of Michigan
    University of Michigan
    Aug. 2025 - present
    M.A. Applied Economics
    Ann Arbor, MI
    Student
  • University of Oslo
    University of Oslo
    Aug. 2019 - Jun. 2023
    B.Sc. Mathematics
    Oslo, NO
  • Experience
  • University of Michigan
    University of Michigan
    Jan. 2026 - Present
    Student Ambassador
    Ann Arbor, MI
  • Colliers
    Colliers
    Jun 2022 - Aug 2022
    Capital Markets Intern
    Olso, NO
  • Human Capital Group
    Human Capital Group
    Jun. 2021 - Aug. 2021
    Marketing Assistant Intern
    Stockholm, SE
  • About Me

    Hallo! I am very bad a these things, but I am Marthe Olivia Harme Forus (yes, I have four names). I have a bachelors in Mathematics from the Univerisity of Oslo and I am a master's student at the University of Michigan. I've also recently decided to pursue a master's in applied economics for professional reasons. Iam not sure if I want to pursue a PhD in the future; however, hopefully this portfolio will help me expand and discover my research interests.

    My primary research interests involves monetary economics and utility theory, however, I am also interested in the following areas

    • Behavioral Economics: Social preferences, rationality, environmental behavior.
    • Labor Economics: Applied microeconometric methods, labor supply theory.
    • Topology: Topological data analysis, geometric machine learning, manifold learning.
    • Stochastic Processes: Stochastic differential equations, stochastic geometry, asset pricing.

    News
    2026
    Started working in the International Center at UMich.
    Feb 02
    2025
    Started my portfolio website.
    Oct 01
    Attending Student Mini-Symposium for Applied Mathematics at Ann Arbor
    Sep 25
    Attending conference on Modern Geometric Function Theory at LSA Mathematics
    Sep 25
    Enrolled at University of Michigan.
    Aug 25
    Research Highlights
    High-Dimensional Variance
    High-Dimensional Variance

    December 28, 2025

    A useful view of a covariance matrix that is a natural generalization of variance to higher dimensions.

    Linear Algebra Probability and Statistics

    Principal Component Analysis
    Principal Component Analysis

    November 02, 2025

    Principal component analysis (PCA) is a simple, fast, and elegant linear method for data analysis. I explore PCA in detail, first with picture and intuition, then with linear algebra and detailed derivations, and finally with code.

    Statistical Modeling Linear Modeling

    Active Information Gathering Agent
    Active Information Gathering Agent

    June 11, 2023

    Final project in Deep Reinforcement Learning class; collaborated with Botian Xu.

    RL Project

    A Survey of Model-Based Reinforcement Learning
    A Survey of Model-Based Reinforcement Learning

    May 28, 2023

    This survey reviews recent advances in model-based reinforcement learning (MBRL), focusing on model learning and policy optimization frameworks.

    RL Survey

    All Research