Taekwan Kim

Taekwan Kim is a Research Fellow at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, specializing in computational models of decision-making and psychopathology. His work bridges cognitive neuroscience and clinical psychiatry to decode mechanisms underlying psychiatric disorders.

Education:

• PhD in Brain and Cognitive Sciences, Seoul National University (2021)

Research Interests: Dr. Kim investigates adaptive decision-making, goal-directed behavior, and metamemory through neurocomputational frameworks. His lab develops models of control processes during decision-making and translates cognitive/brain evidence into psychopathology diagnostics, with obsessive-compulsive disorder as a primary clinical focus. This integrates machine learning with fMRI and behavioral paradigms to identify circuit-level biomarkers.

Publication Trends: Recent work in Brain journal reveals consistent themes: computational modeling of compulsivity (2024) and fronto-striatal circuit imbalances in OCD (2022). These studies employ hierarchical Bayesian models and neuroimaging to map cognitive control failures onto neural circuits, advancing precision psychiatry approaches.

Awards: No scientific awards were documented in the source material.

Advising and Grants: Student mentorship and grant details were not disclosed; affiliations suggest involvement in UCL's Applied Computational Psychiatry Lab infrastructure.

Labs and Teams: He contributes to the Applied Computational Psychiatry (ACP) Lab at UCL, which develops quantitative frameworks for psychiatric nosology using computational modeling, neuroimaging, and large-scale behavioral datasets.