A/PROF Stefan Bode

A/PROF Stefan Bode


  • Cognitive Neuroscience (fMRI, EEG, TMS, multivariate pattern classification analysis (MVPA))
  • decision-making (preference formation, health decisions, voluntary decision-making, perceptual decisions, change-of-mind)



  • I studied psychology at the University of Goettingen, Germany (working with Prof Thomas Rammsayer), and the University of Zurich, Switzerland (working with Prof Lutz Jaencke). Subsequently, I worked at the University Clinic Goettingen in medical psychology (with Prof Nicole von Steinbuechel). I received my PhD in psychology/cognitive neuroscience from the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig / University of Leipzig, Germany, in 2010, supervised by Prof John-Dylan Haynes. In 2010, I moved to Melbourne, Australia, and worked with Prof Gary Egan at the Florey Neuroscience Institutes, before taking up a Postdoctoral Research Fellowship at the Melbourne School of Psychological Sciences (MSPS) at the University of Melbourne in 2011, collaborating with Prof Philip Smith. During this time I co-founded the interdisciplinary Decision Neuroscience Lab. In 2014, I became a Lecturer at MSPS and an Australian Research Council (ARC) Discovery Early Career Research Award (DECRA) fellow. In 2016, I was promoted to Senior Lecturer, and in 2018 to Associate Professor at MSPS. In 2017 I obtained my 'Habilitation' (German professorial degree) at the University of Cologne, Germany (with Prof Jutta Stahl). I am currently the Director of the Decision Science Hub at MSPS. My research focuses on the investigation of the cognitive and neural mechanisms underlying perceptual, health-related, and voluntary decision-making, as well as decision errors, change-of-mind and preference formation.   


Selected publications


Investigator on

Additional Grant Information

  • - Pasricha SR, Phiri K, … Bode S, Johnson K (2018). Randomised controlled trial of the effect of intravenous iron on anaemia in Malawian pregnant women. Bill & Melinda Gates Foundation Grant.
    - Chong TT-J, Bode S (2017). The desire for knowledge: Neural mechanisms of information-seeking. Australian Research Council (ARC) Discovery Project Grant.
    - Bode S, Oldenburg B, Dixon H, Hester R, Kashima Y, Wakefield M (2017). Characterising biobehavioural mechanisms underlying the effect of health warnings on dietary decisions. MSPGH/MSPS Seed Funding Grant Scheme, UoM.
    - Hogendoorn H, McKendrick A, Burkitt A, Feuerriegel D, Bode S (2017). Predicting the present: the role of predictive neural coding in visuomotor guidance over the lifespan. Melbourne Neuroscience Institute (MNI) Interdisciplinary Seed Funding Grant, UoM.
    - Laham S, Smillie L, Bode S, Kashima Y. (2016). Enlightened Compassion: Psychological, Behavioral, and Physiological Profiles. The Beacon Project Psychology Funding Competition.
    - Keage H, Loetscher T, Bode S. (2016). Judging every day risks: From brain function to behaviour. University of South Australia URIPA Project Grant.
    - Bode S, Hester R. (2015). Decoding change-of-mind decisions and errors from brain activity in humans. Australian Research Council (ARC) Discovery Project Grant.
    - Bode S, Murawski C. (2015). The neural encoding of stimulus attributes that bias financial decision-making. FBE/MDHS Collaboration Seed Funding, UoM.
    - Bode S, Laham S, Murawski C. (2014). The neural basis of moral decision-making. Melbourne Neuroscience Institute (MNI) Interdisciplinary Seed Funding Grant, UoM.
    - Bode S. (2013). Decoding unstable decision preferences from brain activity. Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA).
    - Bode S, Murawski C, Smith PL. (2012). Decoding preference reversals in economic decision-making from brain activ   


Education and training

  • P.D., University of Cologne 2017
  • Dr.rer.nat, Universitaet Leipzig 2010
  • Dipl.-Psych., University of Goettingen 2005
  • Interm.Dipl.(Psych), University of Goettingen 2002



Available for supervision

  • Y

Supervision Statement

  • Students in the Decision Neuroscience Lab will work with neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Projects relate to questions concerning decision-making, preference formation and change-of-mind. We use a diverse set of analysis techniques, including the application of multivariate pattern classification analysis (MVPA). For Honours projects, a strong interest in data analysis and cognitive neuroscience is desirable, and for PhD/Masters projects, prior experience with neuroimaging data analysis and basic MATLAB skills are desirable. Please visit our website (dlab.unimelb.edu.au) for more information.