Lab members

The immense leaps in brain development during childhood have always amazed me and led me to align my research with developmental psychology throughout my undergraduate and postgraduate studies. In my undergraduate, I focused on the neural underpinnings of disrupted language development. During my master's, I worked on a behavioural experiment focused on metamemory development in adolescents. Now, I am using fNIRS in a longitudinal study of neural correlates of numerical knowledge in preschoolers from 3 to 5 years old. Discovering cognition is a journey worth embarking on, and I am happy to be a part of the team!

I’m passionate about research, innovation, advocating for under-represented demographics and preventative care. I have been proactive in developing my research skills and worked on six different projects where I had varying responsibilities and opportunities. I’m excited to be a part of the lab and work on my PhD project titled: ‘AI-guided neurocognitive approach to understanding learning disabilities’. The project aims to combine AI and neuroscientific approaches to improve insight surrounding the mechanisms of mathematics and language learning and development among children with dyslexia. I’m eager to advance this knowledge and aid the support for the children and their families.

Throughout my studies, cognitive psychology has always been an area of interest of mine. In my master’s, I investigated whether facial recognition judgements are affected by divisive normalisation of memory strength. For my doctoral research, I will be investigating the extent to which aphantasia can affect mathematical thinking. Emerging research suggests that aphantasia could not only be multi-sensory, but could also be a memory disorder. With very little currently known about aphantasia, I am psyched to be a part of the lab and build on the growing research in this field!

Since my bachelor’s degree I merged the study of cognitive psychology and computer science. What started as an interest became a passion when I realized that these two subjects are not that far from each other. I got my bachelor’s degree with a thesis on artificial intelligence used in cognitive science and for my master’s thesis I implemented a program to simulate working memory computations. My main interest is in working memory modelling and everything that can help us understand how our mind is capable of processing information at a low level. My current project focuses on refining a model called Time-Based Resource-Sharing and describing its connection with long-term storage.

I am passionate about researching learning disorders. In the past, I have conducted meta-analyses on the impact of various interventions on learning disorders as part of my master's thesis and articles. Currently, I am researching the impact of transcranial electrical stimulation on learning and cognitive functions in children with dyscalculia. My aim is to develop evidence-based interventions that enhance learning outcomes. I collaborate with experts, attend conferences, and strive to bridge research with practical applications. I am always eager to embrace opportunities for further learning, and I am thrilled and grateful for the opportunities that have come my way.

I am interested in the way children learn during their development. In my master’s, I investigated the distinct performance of working and prospective memory between bilingual and monolingual elementary schoolers. Now, I am eager to do study for my PhD research in numerical cognition in children due to its crucial role in everyday life, including decision-making, problem-solving, and financial management. The main research question I hope to address is what are the neurocognitive mechanisms of symbolic numerical knowledge in preschool children? Moreover, I am fascinated by the philosophy of mind and the philosophy of science.

I am a cognitive psychologist doing my postdoctoral fellowship in the School of Psychology at the University of Surrey. I am interested in various topics in this field, including embodied numerosity and deaf cognition, which I studied for my MA under the supervision of Prof. Avishai Henik. For my PhD, supervised by Profs. Avishai Henik and Eyal Kalanthroff, I researched the neurocognitive and methodological aspects of automatic inhibition (bottom-up inhibition). Currently, I am focused on the effects of cognitive training and the intersection of numerical cognition and individual differences.

I'm a postdoctoral scientist at Radboud University, currently at the University of Surrey for a two-month research visit. I completed my PhD in neuroscience at the Radboud University under supervision of prof. Evelyn Kroesbergen and prof. Roi Cohen Kadosh. My research delves into non-invasive brain stimulation's psychological and biological aspects, exploring its impact on individual differences in mathematical learning. I aim to optimize stimulation outcomes through personalized approaches, while also advancing the understanding of the neurological and cognitive basis of human behavior. At Surrey, my focus is on identifying biomarkers for mathematical learning using fNIRS, EEG, and tES.