Michelle Blom
Senior Lecturer at Monash University
Greater Melbourne Area Australia
Summary
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Senior🎓
Top SchoolMichelle Blom is a Senior Research Fellow at the University of Melbourne with a PhD in Artificial Intelligence and over a decade leading interdisciplinary research in optimisation, election integrity, and explainable AI. She develops decomposition and local-search algorithms for large-scale combinatorial problems, applying them to real-world domains from long-term mine planning and factory scheduling to risk-limiting audits for complex elections. Her work spans theory and practice, evidenced by industry collaborations (including Rio Tinto) and awards such as the 2023 IEEE Cybersecurity Award for Practice and 2024 university-level research honours. Comfortable bridging multi-agent systems, reinforcement learning, and mathematical programming, she builds decision-support tools that are auditable and robust under uncertainty. Outside academia she shares research and commentary on social platforms and maintains a public research site that collects her interdisciplinary outputs.
9 years of coding experience
The University of Melbourne
Github Skills (13)
assertion7
margin7
frontend6
computation6
security5
java5
python4
theory4
risk-assessment3
risk-analysis2
reinforcement-learning2
audit1
risk-management1
Programming languages (6)
Github contributions (5)
michelleblom/stv-rla
Nov 2021 - Apr 2026
Contributions:60 pushes in 4 years 6 months
michelleblom/rairepy
Jun 2022 - Dec 2024
Python implementation of RAIRE for IRV RLAs
Contributions:1 review, 26 pushes, 2 branches in 2 years 6 months
python
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