Peaker Guo
Assistant Professor at Institute of Science Tokyo (Science Tokyo)
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolPeaker Guo is an Assistant Professor and computer science researcher based in Tokyo with nine years of experience spanning academia, teaching, and applied research. Currently at Science Tokyo and completing a PhD at the University of Melbourne, Peaker combines theoretical work in algorithms and complexity with hands-on projects in probabilistic modelling and machine learning—previous summer research investigated Rubik’s Cube mixing times and added ML capabilities to MiniZinc. He has teaching experience as an algorithms teaching assistant and a history of practical software work (web and eForms development), so he bridges rigorous theory and production-ready implementation. An editor on Genius and an active GitHub repo owner, he brings a curious, creative approach to open research tooling and reproducible experiments. Notably, his background mixes high academic distinction (First Class Honours) with projects that translate mathematical ideas into working software.
9 years of coding experience
1 year of employment as a software developer
The University of MelbourneBachelor of Computer Science (Honours), First Class Honours, Bachelor of Computer Science (Honours), First Class Honours at Monash University
English, Chinese
Github Skills (5)
arweave5
gossip3
javascript3
analytics2
peer-to-peer1
Programming languages (1)
Github contributions (5)
Peakergzf/Competitive-Programming
Aug 2017 - May 2019
Contributions:75 commits, 70 pushes, 1 branch in 1 year 8 months
Peakergzf/empirical-model-learning-in-minizinc
Nov 2018 - Feb 2019
Contributions:29 commits, 1 comment in 2 months
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