Steffen is a Postdoctoral Research Fellow in the Infection Analytics Program at the Kirby Institute, UNSW, and his research centres around increasing our understanding of the mechanisms underlying diseases. Currently he is primarily working on using mathematical modelling to further our understanding of the mechanisms underlying HIV latency. He received his Ph.D. in applied mathematics from the University of California, Davis in 2018, where his dissertation research focused on studying the effects of anti-arrhythmic drugs on electrical signalling in the heart.
In his research, Steffen frequently implements mathematical techniques from probability theory, dynamical systems theory, and singular perturbation analysis.
PhD, MSc, MSc, BA
I am broadly interested in utilising mathematical modelling to further our understanding of disease states and aid in the development of new therapies. Currently, I am focusing on discerning the mechanisms driving viral production rates early in HIV infection and following reactivation from latency. During my PhD studies, I modelled the effects of drugs on electrical signalling in the heart, working to better understand the drug characteristics that differentiate between drugs that have a pro- or anti-arrhythmic effect when administered to patients.
Yang PC; Boras BW; Jeng MT; Docken SS; Lewis TJ; McCulloch AD; Harvey RD; Clancy CE, 2016, 'A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation', PLoS Computational Biology, vol. 12, http://dx.doi.org/10.1371/journal.pcbi.1005005