Research Programme
My research programme is organised around three interconnected pillars: adaptive individuals, adaptive families and adaptive teams.
Adaptive Individuals
How do people adapt to stress—and how can adaptive coping be strengthened?
Stress is an inevitable part of life, yet individuals differ remarkably in how they perceive, regulate and respond to challenging situations. My research examines the behavioural and neural mechanisms underlying adaptive coping, emotional regulation and resilience, with the goal of understanding not simply whether people cope, but how adaptive coping develops through repeated experiences.
This work combines neuroscience, behavioural measurement and digital technologies to investigate how emotional responses, cognitive appraisals and coping strategies interact across diverse real-world situations.
Current research includes the development of evidence-based digital interventions, longitudinal behavioural analytics and adaptive resilience technologies that support personalised coping, resilience training and mental wellbeing.
Key research themes
Adaptive coping and resilience
Stress and emotional regulation
Behavioural adaptation
Digital mental health interventions
Longitudinal behavioural intelligence
Personalised resilience development
Adaptive Families
How do relationships shape resilience across the lifespan?
Relationships are among the most powerful environments in which human adaptation occurs. Parents regulate children's emotions long before children learn to regulate themselves. Couples navigate adversity together. Families continually influence one another's capacity to cope, recover and thrive.
My research explores these relational processes in home and work-home interfaces, examining how interactions between parents and children, couples and caregivers shape brain activity, behaviour and emotional regulation. I investigate how stress, attachment, caregiving and communication influence adaptive functioning across development, and how healthy relationships build resilience over time.
The long-term vision of this research is to develop evidence-based interventions and intelligent technologies that strengthen family relationships, support caregivers and improve resilience across generations.
Key research themes
Parent-child relationships
Couple relationships
Caregiving and family resilience
Attachment and emotional regulation
Relational neuroscience
Brain-to-brain dynamics
Family interaction analytics
Adaptive Teams
How do people learn, communicate and solve problems together?
Many of today's most important challenges cannot be solved by individuals working alone. Effective collaboration requires people to coordinate attention, exchange ideas, regulate disagreement and build shared understanding. Increasingly, these interactions also involve artificial intelligence.
My research investigates the behavioural and neural foundations of collaboration across educational and workplace settings. Drawing upon relational neuroscience, learning sciences and artificial intelligence, I examine how communication patterns, interpersonal coordination and collaborative processes influence learning, stress, group relationships and team performance.
This research extends beyond understanding collaboration to designing technologies that strengthen it. By integrating behavioural analytics with AI-supported learning environments, my work aims to develop intelligent systems that improve collaborative problem solving, teamwork and human-AI interaction.
Key research themes
Collaborative learning
Team communication
AI-supported collaboration
Human-AI interaction
Interaction analytics
Collaborative problem solving
Technology-enhanced learning