Principal Investigator
Associate Professor
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University
Associate Director
Mental Health Research Centre, The Hong Kong Polytechnic University
I obtained my DPhil from University of Oxford. I am interested in studying the neuroscience of reward-guided decision making and learning. In our modern lives, it is very common that we make decisions based on highly complex information. However, our knowledge about neural mechanisms of decision making is mainly based on experiments that involve much simpler information. So, I am interested in a few main questions. How does the human brain digest complex information during decision making? Can we build neural network models to simulate these brain processes? Can we improve these brain processes?
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.
Postdoctoral Fellow
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.
Postdoctoral Fellow
Tsz Lok received his PhD in Psychology from The Chinese University of Hong Kong. His research examines how prefrontal mechanisms support cognitive control and working memory in aging and clinical populations, using behavioral experiments, functional near-infrared spectroscopy (fNIRS), and eye tracking. He is particularly interested in non-invasive neuromodulation and digital biomarkers, with recent work on transcranial photobiomodulation to enhance cognitive efficiency and alleviate symptoms in mild cognitive impairment and mild traumatic brain injury.
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 Associate
Bowie Woo obtained an MRes in Cognitive Neuroscience from UCL and an MPhil from the University of Cambridge. During the MRes, Bowie investigated how breathing patterns influence anxiety regulation and threat anticipation across safe, predictable threat, and unpredictable threat contexts, measuring respiration, heart activity, and startle responses to map defensive states. Currently, Bowie is interested in computational neuroscience and aims to apply it to decision-making research. Outside the lab, Bowie enjoys bouldering and cycling
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
I completed my MSc in Psychology with a focus on cognitive neuroscience at Lund University, where I worked at the National 7T facility. My research focused on the cerebellum and its relation to neurocognitive changes in patients. I look forward to dedicating my time to explore the role of the brain in decision making further and to contribute to ongoing projects.