About Me

Hello! I am Hyeonmin (Amber) Lee, a full-time research assistant in the Computational Clinical Science Laboratory (CCSL) at Seoul National University.

I use computational models, behavioral tasks, neuroimaging, and real-world monitoring data to investigate decision-making mechanisms relevant to psychopathology. I am especially interested in how learning, valuation, exploration, and behavioral control are shaped by clinically relevant internal states and environmental contexts.

My current work focuses on addiction and substance use, naturalistic decision-making, intensive longitudinal measurement, and computational neuroimaging. I am particularly interested in identifying latent computational and neurobehavioral mechanisms that explain how clinically relevant states alter decision-making across laboratory and real-world contexts.

Ultimately, I aim to leverage these mechanistic insights to develop computationally informed precision interventions for maladaptive behavior.

I received my M.A. in Clinical Psychology from Seoul National University and am currently preparing to apply to Ph.D. programs in psychology, neuroscience, and related fields.

Research Interests

Computational psychiatry Addiction and substance use Naturalistic decision-making Digital phenotyping Precision interventions

Selected Projects

Naturalistic Decision-Making in a Minecraft-Based Environment

reinforcement learning exploration–exploitation naturalistic paradigm nicotine abstinence

Daily Alcohol Use, Computational Markers, and Digital Phenotyping

delay discounting EMA passive sensing alcohol use disorder

VR-Assisted Intervention for Social Anxiety

virtual reality social anxiety CBT