DuBois’ research advances global social-ecological modelling analysis of systemic change and "tipping elements" in terrestrial ecosystems, as part of the H2020 European Research Council-funded Earth Resilience in the Anthropocene project.
Integrated Assesment (or climate-economy) models identifiy how economic policies affect our climate (which in turn affects our economy). These models advise policy makers on how best to place a social cost on carbon; what sort of climate change can we expect based on what policies we implement, etc. Due to the complexity of the feedback loops involved, these models usually invoke many assumptions and simplifications in order to be tractable, although some of these assumptions may yield spurious results (for example: steady economic growth during an era of catastrophic, irreversible climate change). DuBois is focusing on shoring up the underlying arguments in these models, and working towards the identification of optimal policy pathways to meet the Paris Agreement global temperature targets.
Previously, DuBois was at Chalmers University of Technology with the Electromagnetic Field Theory Group in Gothenburg, Sweden. The research he completed there was part of the PLasma based ION Acceleration (PLIONA) Knut and Alice Wallenberg Foundation project, which attempts to generate high acceleration laser-plasma based ion sources for near future use in applications, such as hadron therapy for cancers, cosmic radiation studies on living cells and spacecraft, short-life medical isotope production, proton imaging and many other important applications.
DuBois obtained his doctorate at RMIT University in Melbourne, Australia in September 2015 with the Chemical and Quantum Physics Group. That research focused on microscopic models of defects and quantum transport in condensed matter systems and large scale computer simulation usingab initiotechniques. From August 2009 until September 2015, he was also contracted by the Defence Science and Technology Organisation (now DST Group); specialising in statistical properties of Lagrangian particles in application to the areas of turbulent dispersion, release characterisation and blast dynamics.