Melanie I Stefan, Group leader
My research interests revolve around using computers to understand learning and memory, from simulating how proteins in the brain work together to strengthen the connection between neurons to using educational data to understand how students learn.
Christine Lee, PhD student
My research interests include using software to assist in analyzing student behavior on online test-taking platforms, and to hopefully help teachers better tailor their classes according to their students' needs.
Danny Schnitzler, Postdoctoral researcher
Domas Linkevicius, PhD student (co-supervised with David Sterratt)
My interests primarily lie in modelling neuronal dynamics (mainly synaptic plasticity) as an interplay of electrical and biochemical activity at the level of single cells. I am interested in trying to understand how various studies on synaptic plasticity and neuronal dynamics could be reconciled (if at all) via models built in a bottom-up fashion that can explicitly include experimental conditions and assumptions whenever feasible. My interests also include trying to tackle the complexity of and shortage of data on the post-synaptic proteome by using machine learning.
Susana Román García, PhD student (co-supervised with David Sterratt)
I am interested in using computer models to understand molecular mechanisms which underly memory formation. I believe computer models offer great potential for studying Neuroscience, and I seek to bring the two together in the research that I do. I aim to move away from animal research and towards more ethical technological advancements in the Neuroscience field. My current PhD work involves using various 3D biology computational modelling software (such as MCell and Biodynamo) to create models which look at CaMKII dynamics in the postsynaptic neuron. More specifically, I look at CaMKII interactions with NMDAR and their involvement in biochemical and structural changes in Long Term Potentiation (LTP).