CV

Basics

Name Alex Schutz
Label Robotics PhD Student
Email alexschutz@robots.ox.ac.uk
Summary A keen researcher in robotics with a focus on planning and learning in graph-based environments.

Education

  • Oct 2023 - Present

    Oxford, United Kingdom

    DPhil Engineering Science
    University of Oxford
    Multi-Agent Planning Under Uncertainty
    • Graph Reinforcement Learning
    • POMDP Planning
    • Multi-Agent Reinforcement Learning
    • Neural Algorithmic Reasoning
  • 2015 - 2020

    Adelaide, Australia

    B.Eng (Hons) w B.MaCSci
    University of Adelaide
    Mechatronics and Pure Mathematics
    • Machine Learning
    • Pure Mathematics
    • Mechanical Engineering

Work

  • Jan 2021 - Sept 2023

    Adelaide, Australia

    Rapid Prototyping Engineer
    Myriota
    Development of algorithms and software for the operation of satellite hardware in IoT applications.
    • Designed software tools using C/C++ and Python for large scale cloud-based simulations
    • Analysed data from simulation to determine optimal satellite network configurations
    • Designed solutions to coordinate radio transmissions and receptions on a satellite
  • Feb 2026 - May 2026

    Oxford, UK

    Software Engineering Intern
    Stateful Robotics
    Design and development of planning algorithms for robot intelligence in industrial applications.
    • Created hierarchical heuristic-powered planning approach for scalable application of MDPs
    • Delivered key customer deadlines in critical stages of early startup
  • Dec 2024 - Feb 2025

    Oxford, UK

    Lead Robotics Tutor
    University of Oxford
    Course design and teaching of a week-long practical robotics course for 1st-year PhD students.
    • Rewrote course content for new hardware and greatly improved teaching experience
    • Delivered content concerning ROS, perception, control, planning, SLAM, and MDPs

Volunteer

Awards

  • 2023
    General Sir John Monash Scholarship
    John Monash Foundation
    The General Sir John Monash Foundation awards postgraduate scholarships to Australians who demonstrate outstanding leadership potential and who wish to study overseas.
  • 2021
    Most Outstanding Engineering Student Prize
    University of Adelaide
    The Head of School of Mechanical Engineering will award the prize to the final year student who has completed all of the requirements for the degree and achieves the highest weighted average mark including all courses presented towards the degree.

Skills

Machine Learning
Graph Learning
Reinforcement Learning
Deep Learning
Representation Learning
Programming
C
C++
Python
Organisation
Events
Leadership
Tutoring

Interests

Academic
Robotics
World Models
Graph Neural Networks
Reinforcement Learning
Neural Algorithmic Reasoning
Hobbies
Pickleball
Korfball
Board Games
Video Games
Bass Guitar + Drums

Projects

  • 2025 - Present
    Reinforcement Learning on Graphs
    A blog post aimed to educate beginners on the fundamentals of applying reinforcement learning to graph-structured data.
  • 2023 - 2024
    Scalable planning for Deterministic POMDPs
    A fusion of Monte-Carlo Value Iteration and Goal-HSVI to create a goal-oriented solver for Deterministic POMDPs. Published at IJCAI 2025.
    • POMDP Planning
    • Finite State Controllers