Marcus Hoerger
Research Fellow at The Australian National University
Canberra, Australia
Summary
👤
Senior🎓
Top SchoolMarcus Hoerger is a postdoctoral AI researcher with a PhD in Computer Science and nine years of experience developing planning and reinforcement learning methods for complex, real-world decision problems. He combines deep learning expertise (PyTorch) and strong software engineering skills in Python and C++ to bridge cutting-edge research and robust implementations. His career spans academic research roles across CSIRO Data61, ANU, and the University of Queensland, and he brings practical experience turning theoretical algorithms into working systems. Unusually for an AI specialist, he also holds an ARC DECRA fellowship in pulsar astronomy, highlighting a strength in applying machine learning to interdisciplinary scientific challenges.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of QueenslandDipl. Inf. Information Technology, Dipl. Inf. Information Technology at University of Stuttgart
Github Skills (5)
astronomy8
astrophysics7
python7
pulsar7
python-modules2
Programming languages (1)
Github contributions (5)
mlower/rmnest
Mar 2021 - Jan 2023
A standard (and generalised) rotation measures fitting package written in Python.
Contributions:28 commits, 10 PRs, 32 pushes in 1 year 10 months
pythonastronomyastrophysicsfaraday-rotationfrb
mlower/GWInference
Nov 2017 - Nov 2019
Contributions:19 pushes, 1 branch in 2 years
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