Lena Schmidt

Lena Schmidt is a Research Fellow at the University College London (UCL) Social Research Institute, specializing in methods development for systematic reviews, evidence maps, and living evidence syntheses. She leverages machine learning and neural networks to optimize data mining and classification during the screening process. Her work emphasizes automation tools for large-scale literature analysis and addressing reproducibility in evaluations.

• MSc Applied Health Sciences, Furtwangen University (2018)
• NIHR Systematic Reviews Fellowship (2018–2020)
• Predoctoral Fellowship in Living Reviews and Automation

Her research focuses on enhancing systematic review efficiency through NLP, AI, and data engineering, particularly for grey literature in health research. Recent publications address pandemic impacts on mental health, automation in evidence synthesis, and knowledge graph development for toxicology.

Scientific awards include the NIHR Fellowship and Intelligent and Adaptive Systems Certification from the University of Sussex. She actively collaborates with organizations like the Campbell Collaboration and ICASR, co-organizing automation workshops and contributing to methodological frameworks.