Espen Slettnes

AI & Decision Making + Mathematics @ MIT; MOP ’20 & ’22; SPARC ’21 - ’24

Cambridge, Massachusetts, United States

About

Experience

  • Algorithm Developer Intern at Hudson River Trading
    Jun 2026 - Present · 1 mo

    Conduct quantitative research, create predictive models, and design algorithms and software to improve automated trading strategies.

  • Student Researcher at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Feb 2026 - Present · 5 mos

    Algorithmic Design Group: Researching GPU-accelerated Monte Carlo integration of elliptic PDEs: devising a unified framework in which they can be cleanly specified and analyzed, and building a compiler to run them efficiently on GPUs.

  • Laboratory Assistant at MIT Department of Electrical Engineering and Computer Science (EECS)
    Sep 2024 - Present · 1 yr 10 mos

    Holding office hours and clarifying machine learning concepts, guiding students through programming tasks, providing debugging and technical support, and overall enhancing students’ learning experience.

  • Research Scientist Intern at MongoDB
    Jun 2025 - Aug 2025 · 3 mos

    Contributing to the development of state-of-the-art embedder and reranker AI algorithms for efficient semantic retrieval of document data containing both text and images. Designing AI-driven and heuristic algorithms for evaluating training data quality to improve model performance.

  • Berkeley Math Circle (7 yrs 4 mos)
    • Instructor
      Sep 2018 - Dec 2024 · 6 yrs 4 mos

    • Monthly Contest Grader; Coordinator
      Sep 2017 - Sep 2024 · 7 yrs 1 mo

      http://mathcircle.berkeley.edu/

    • BMC-Upper Monthly Contest Designer and Coordinator
      Aug 2019 - May 2023 · 3 yrs 10 mos