Espen Jimenez Solem

Espen Jimenez Solem serves as a Clinical Professor at the University of Copenhagen's Department of Clinical Medicine while holding a dual appointment as Senior Physician in the Clinical Pharmacology Department at Bispebjerg and Frederiksberg Hospital (Capital Region of Denmark). His work bridges academic research and clinical practice through the hospital's PhaseIV unit, focusing on real-world drug evaluation within Denmark's universal healthcare system.

His research centers on pharmacoepidemiology with dual pillars: drugs and pregnancy (examining congenital malformations, non-insulin dependent diabetes outcomes) and drug side effects (Stevens-Johnson syndrome, neurologic events). Methodologically, he leverages Danish nationwide registries for cohort analyses and case-time control studies, particularly investigating cystic fibrosis therapies (elexacaftor/tezacaftor/ivacaftor), antibiotic safety, and cardiovascular drug effectiveness. His fingerprint reveals strong emphasis on National Cohort Studies (83%) and During Pregnancy exposures (47%).

Recent publication trends (2024-2025) demonstrate expanding international collaborations (Denmark/Australia) in cystic fibrosis research, with 4 of 9 featured articles analyzing CFTR modulator impacts on healthcare utilization. His work consistently employs registry data to assess real-world drug safety and effectiveness, spanning pharmacovigilance (mebendazole, metronidazole), perinatal outcomes, and chronic disease management.

Scientific recognition includes Scopus citations across multiple publications, though no specific awards are documented in the provided materials.

Collaborative leadership is evident through the TransformCF Study Group and multi-center registry projects. While no formal advising relationships are listed, his role in the PhaseIV unit suggests mentorship in post-marketing drug evaluation. Current research priorities include cystic fibrosis therapeutics, pregnancy-exposure outcomes, and neurologic adverse event characterization using advanced epidemiological methods.