معرفی
Xiaoying Kang is an Affiliated Researcher at Karolinska Institutet's Department of Medical Epidemiology and Biostatistics (2025-2027), previously serving as a Postdoctoral Researcher (2022-2025). She operates within Jonas Ludvigsson's Gastrointestinal Epidemiology research group, focusing on population-based investigations of gut-brain axis disorders.
Her educational foundation includes a Doctor of Philosophy (PhD) awarded in 2022 by Karolinska Institutet, with doctoral research centered on Parkinson's disease mechanisms and treatments.
Dr. Kang's expertise spans Epidemiology, Neurology, and Medical Genetics, with specialized investigations into Parkinson's disease comorbidities. Her work examines autoimmune conditions (microscopic colitis, celiac disease, type 1 diabetes) as potential triggers or correlates of neurodegeneration, utilizing Swedish national registries for large-scale cohort and case-control analyses. Methodologically, she employs Mendelian randomization, genetic epidemiology, and longitudinal modeling to establish causal pathways between gastrointestinal disorders and neurological outcomes.
Her publication trajectory reveals consistent focus on Parkinson's disease etiology, with recent studies exploring vascular complications, sleep disorders, impulsive behaviors, and genetic overlaps with inflammatory bowel disease. This body of work demonstrates increasing methodological sophistication through integration of genetic data with clinical epidemiology.
No scientific awards are documented in available sources.
While specific grant details and student mentorship are unreported, her research leverages Karolinska Institutet's infrastructure and Swedish national health databases. Collaborative patterns indicate work with senior researchers including Ludvigsson, Wirdefeldt, and Ploner across multiple publications.
She contributes to Jonas Ludvigsson's internationally recognized gastrointestinal epidemiology team, which bridges clinical medicine and biostatistics to investigate immune-mediated disease mechanisms.
