Johan Thygesen

Dr. Johan Thygesen is an Associate Professor at the University College London (UCL) Institute of Health Informatics, within the Faculty of Population Health Sciences. His research focuses on the integration of electronic health records (EHRs) and genetics to study rare diseases and mental health conditions, including comorbidities and the impact of rare pathogenic variants. He is a proponent of data visualization and open science to enhance transparency in biomedical research.

• Research Interests:
  • Electronic Health Records (EHRs)
  • Genetics and Genomics
  • Rare Diseases
  • Mental Health (Psychiatry, Psychosis)
  • Disease Trajectories and Comorbidities
  • Machine Learning for Healthcare
  • Health Data Science
  • Computational Genomics
  • Health Disparities
• Teaching Roles:
  • Director of Education at UCL Institute of Health Informatics
  • Module Leader: Programming with Python for Health Data Science
  • Module Leader: Applied Computational Genomics
  • Supervisor for MSc and PhD students

Publications highlight his work on COVID-19 disparities, genetic risk scores, deep learning for EHR analysis, and machine learning in healthcare equity. His collaborative projects span epidemiology, pharmacogenomics, and AI-driven health outcomes research.