Welcome
I am a Senior Research Fellow in the AI and Autonomy Lab of the School of Computing and Information Systems at the University of Melbourne, Australia (2012-present). 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. For more detail on my work in some of these areas, head over to the Research tab!
On the socials I’m @michelleblom8 on Twitter and @michelleblom@aus.social on Mastodon.
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 Engineering and IT (see here for details on eligibility), please feel free to reach out to me. I am particularly interested in students that wish to work on post-election auditing (see the About and Research tabs for more details!).
News
February 10, 2022Our work on risk limiting audits for Ranked Pairs elections has been accepted to the VOTING'23 workshop. Joint work with Damjan Vukcevic, Peter Stuckey, and Vanessa Teague.
September 30, 2022Our work on using Dirichlet-Tree models for ballot-polling audits of IRV elections is being presented today at the first International Workshop on Election Infrastructure Security (EIS'22).
October 3-6, 2022It's time for the 8th International Joint Conference on Electronic Voting (EVOTE-ID'22)! Our team will be presenting work on initial steps toward using Dirichlet-Tree models for IRV post-election audits.