Zerun NiuAI research systems
Experience timeline

Research practice, shared clearly.

Ongoing research and teaching across the University of Sydney, UNSW Sydney, and the DUAL Group.

01
2025
— present
education · Sydney, Australia

Master of Philosophy in Computer Science

The University of Sydney

Research in reliable and efficient AI systems, supervised within the DUAL Group.

  • Research across federated learning, semantic communication, calibration, and resource-constrained AI.
  • Build reproducible methods and experimental pipelines from literature review through analysis.
02
Aug 2026
— present
teaching · Sydney, Australia

Casual Academic

UNSW Sydney

Teaching and academic support in computing coursework.

  • Facilitate classes and support students through technical concepts and practical problem solving.
  • Apply rubric-aligned feedback and clear explanations to student work.
03
Feb 2026
— present
teaching · Sydney, Australia

Casual Academic Tutor

The University of Sydney

Tutorial delivery and student learning support for university coursework.

  • Deliver weekly tutorials, class activities, small-group discussions, and question sessions.
  • Support academic communication, teamwork, technical problem solving, and professional practice.
  • Coordinate with unit teams to deliver consistent, inclusive learning experiences.
04
Apr 2024
— present
research · Sydney, Australia

Research Assistant

DUAL Group, The University of Sydney

Research engineering and experimentation for distributed learning and efficient AI systems.

  • Build reproducible training and evaluation pipelines with explicit configs, seeds, logging, and reporting.
  • Implement baselines, targeted ablations, and publication-quality figures and tables.
  • Coordinate experiment ownership and artifact handoff across code, plots, and manuscripts.
  • Designed and deployed the official DUAL Group website.
05
2021
— 2025
education · Sydney, Australia

Bachelor of Advanced Computing, Data Science

The University of Sydney

Graduated with Distinction; final-year work centred on machine learning and distributed systems.

  • Undergraduate thesis in adaptive low-rank optimisation for federated learning, marked 85/100.
  • Coursework included machine learning, deep learning, natural language processing, and distributed systems.