Postdoctoral Fellow

I obtained my PhD in decision neuroscience under the supervision of Dr. Bolton Chau and I am working as a postdoctoral fellow at the Decision and Computational Neuroscience Group. My research interests are mainly in the neural mechanisms of value computation during decision making. Particularly, I am interested in the computational mechanisms of decisions with complex choice information.

JJ received his education in the fields of medical engineering, neuroimaging, and psychology. His research interest focuses in using neuroimaging to study human behaviour, particularly pertaining to human decision making. He has designed and conducted several studies using the MRI (both 3 and 7-Tesla) to investigate the structural (structural and DTI) and functional (resting-state and task-based fMRI) neural correlates of affective and cognitive behaviours in both healthy and clinical populations. He has experience utilising a variety of data analysis techniques such as computational modelling and MVPA. His ongoing projects aim to explore the mechanisms associated with decision making in the presence of distractors.

Postdoctoral Fellow

I obtained my PhD and Bachelors from the University of Hong Kong. Currently, I am working on a project about the effect of distractor-induced bias on perceptual decision-making. I focused more on the visual system during my doctoral studies, specifically about depth perception in humans.

Postdoctoral Fellow

Yujing obtained a Ph.D. in Computer Science from The University of Melbourne. He has experience in developing lightweight models for various applications, ensuring efficient and safe operation. Additionally, he is skilled in detecting and managing machine learning models in noisy conditions, enhancing their robustness and accuracy in real-world applications. He is dedicated to working with multi-modal data, including images and time series. His research focuses on processing medical data, such as X-rays, CT scans, MRIs, and physiological signals such as ECGs and EEGs, to improve diagnostic and therapeutic outcomes.

Postdoctoral Fellow

I obtained my PhD and Bachelors from the Department of Psychology at Sun Yat-sen University. My major work in the PhD period focused on the oscillatory EEG activities related to visual attention. Currently, my research interest is in the neural mechanisms of decision making

Postdoctoral Fellow

Luzi obtained her PhD at Utrecht University after completing her Bachelor’s and Master’s degrees at Sun Yat-sen University. In her previous research, she used online and lab-based behavioral methods to study visual  perception and memory. Currently, she is particularly interested in decision-making processes related to information sampling.

PhD Student 

I am Victor. I obtained my BSSc degree from Hong Kong Baptist University. We seek and receive information to make decisions in our daily lives. I am currently investigating the underlying mechanisms of how information is being sampled. I also adopt a deep-learning technique called convolutional neural network (CNN) to simulate behavioural changes in people with specific brain lesions. This can provide a more comprehensive understanding of the neural mechanism of decision-making.  

PhD Student 

Li Wai Leuk, also known as Eddie, is an occupational therapist who earned his BSc in Occupational Therapy from The Hong Kong Polytechnic University and a Master of Public Health from the University of Hong Kong. He is dedicated to working with individuals with disabilities, with the goal of integrating rehabilitation science and neuroscience to improve clinical practices. Currently, Eddie is furthering his education as a part-time student and aspires to delve deeper into decision-making and computational neurosciences. This reflects his commitment to evidence-based and neurologically informed therapeutic interventions. Eddie's professional dedication is paralleled by his passion for lifelong learning and his pursuit of interdisciplinary approaches to enhance neurological rehabilitation.

MPhil Student

Jocelyn has a broad interest in learning, memory and decision-making. She is currently examining the neurocomputational mechanism of counterfactual decision-making in human participants. Prior to joining the Decision and Computational Neuroscience Group, she studied neuroscience at University College London. Outside of the lab, Jocelyn enjoys bouldering and swimming.

Research Assistant

I'm Jessie and one of the Research Assistants of the Decision and Computational Neuroscience Group! I obtained my BSSc in Psychology at The Chinese University of Hong Kong. I am currently interested in learning more about computational neuroscience and clinical neuropsychology research! I aim to pursue a graduate program that focuses on these topics in the future. 

Research Assistant

I obtained my BSocSc in Psychology from City University of Hong Kong. I am passionate about neuroscience research. I am particularly excited about the future prospect of the interdisciplinary approach in bringing together cognitive modeling, computational neuroscience and artificial intelligence in unravelling the complexity of the human mind. In my spare time, I am self-learning about programming and Deep Learning to expand my analytical capability.

Research Assistant

Aidana graduated from the Biomedical Engineering Department from The City University of Hong Kong in 2024. After conducting her Final Year Project about 3D AR Game for Cognitive Therapy for the elderly, she is excited to learn more about neuroscience. She hopes to use her acquired data processing skills to assist current projects in decision-making and computational neuroscience as one of the Research Assistants.