Photo of Mark Reid at work I'm a Research Fellow in the Research School of Computer Science at the Australian National University in Canberra, Australia and a contributed researcher to NICTA's Machine Learning research group.

My current research interests include: loss functions in statistical and online learning, and connections between learning theory and market mechanisms.


I can be reached at work by phone on (+61) 2 6267 6297, by email at . My office is on the 2nd floor of the NICTA Canberra Research Lab (Map).


My research vision can be distilled down to wanting to build theoretical and practical foundations for wide-spread, machine-assisted inference. I am doing so through the following funded projects:


I have published research in variety of areas including, most recently: learning theory, prediction markets, and boosting. A complete list is available at my publications page.


November 19, 2014 – I am visiting Jun Zhu and Jie Zhou at Tsinghua University until the 3rd of December as part of the Australia-China Young Scientist Exchange Program. I was one of 15 academics selected from Australian universities to be part of the exchange.

September 19, 2014 – I am very pleased to announce that Mindika Premachandra has submitted her PhD thesis for review. My first PhD student to do so. Congratulations Mindika!

September 13, 2014 – I helped judge the fantasic array of school students’ technology projects as part of the ACT Young ICT Explorers competition.

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I am convening and co-lecturing a course on Information Theory (COMP2610) with Aditya Menon in semester 2, 2014. I previously taught this with Edwin Bonilla in 2011 and 2012, and with Aditya in 2013. I also co-lectured Advanced Topics in Statistical Machine Learning (COMP8650) in semester 2, 2012.


I am currently primary supervisor for three PhD students:Avi Ruderman, Nicolás Della Penna, and Mindika Premachandra. I supervised Nam Ho, an Honours Student at the Mathematical Sciences Institute in 2013.


Since September 2007 I have kept a blog on machine learning and statistical inference called Inductio ex Machina.


I am currently the Production Editor for the JMLR Workshop & Conference Proceedings. I am also an Action Editor for the JMLR's Machine Learning and Open Source Software track.

I was local organiser for ALT 2010 as well as a member of its Program Committee. I have also been on program committees for ICML, NIPS, UAI, and ACML. I have reviewed for journals (JMLR, JAIR, PAMI, TCS, Trans. on Info. Theory, Trans. on NNLS, PloS ONE, and AMS Mathematical Reviews), conferences (including NIPS, ICML, COLT, and UAI).

I have also participated in the Mathematicians in Schools program as a partner with Yass High School.