Welcome

I am a Senior Lecturer in the Department of Data Science and AI, Faculty of Information Technology, at Monash University, Australia. Prior to this, I was a Senior Research Fellow at the University of Melbourne (2012-2026). I completed my PhD in Computer Science at the University of Melbourne in 2011. I have rather diverse research interests that include election integrity (with a focus on post-election audits), combinatorial optimization (with a focus on algorithms for solving large problems through decomposition, local search, and the use of mathematical programming), applications of reinforcement learning, and Explainable AI.

Dr. Michelle Blom

  • (2011) Ph.D., UniMelb
  • (2006) BSc/BEng, UniMelb

PhD Opportunities

I am currently accepting new PhD students. If you are interested in my any facets of my work, and feel that you meet the requirements for entry into the PhD program with the Faculty of Information Technology at Monash University (see here for details on eligibility), please feel free to reach out to me.

I have two PhD projects available for expressions of interest (express EOI via the linked Google forms):

– Combinatorial Optimisation for Constrained Dynamic Conservation Planning (EOI’s close 20 November 2026)

– Machine Learning and Optimisation for Large Scale Stochastic Long-Term Mine Planning (EOI’s close 31st October 2026)

News

June, 2026

Excited to have started a new role as a Senior Lecturer in the Department of Data Science and AI, Faculty of Information Technology, at Monash University! I’m looking forward to continuing my work on post-election audits, strategy extraction and generalisation for AI agents, and optimisation with my new colleagues at Monash, and to keep collaborating with my wonderful colleagues at the University of Melbourne.

November, 2025

Honoured to have received the 2025 Ariel Liebman Impact Award for our work on risk-limiting audits for preferential election, together with my colleagues Alexander Ek, Damjan Vukcevic, Peter Stuckey, and Philip Stark.

August, 2025

Work on Large Neighbourhood Search for Long Term Open-Pit Mine Planning has been published in INFORMS Journal on Applied Analytics.

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