Kathi Künnemann

Kathi Künnemann, PhD, is an experienced medical writer and disclosure manager at Staburo GmbH, where she has been instrumental in advancing transparency in clinical trials through the creation of Plain Language Summaries (PLS). With over a decade of expertise spanning academic research and the pharmaceutical industry, Kathi specializes in the intersection of medical writing, clinical trial disclosure, and data analysis. Her focus is on ensuring that complex scientific data is communicated clearly and effectively, making it accessible to non-expert audiences.

Kathi holds a PhD in Biomedicine from Universitat Pompeu Fabra and has a diverse background, having worked in research and industry roles across Europe, including Germany, Spain, and France. Her career includes significant contributions to clinical data analysis, biomarker research, and the presentation of findings at numerous international conferences. Passionate about leveraging artificial intelligence (AI) to enhance medical writing, Kathi is currently exploring how AI can optimize the production of clinical documentation, a topic she frequently presents on at major industry events.

In addition to her professional accomplishments, Kathi is fluent in multiple languages and enjoys combining her love for science with her passion for outdoor activities like trail running.

Staburo GmbH is a leading biostatistics and data science consulting company based in Munich, Germany, specializing in providing innovative statistical solutions for the life sciences industry. With a strong focus on clinical trials, regulatory submissions, and real-world evidence, Staburo helps pharmaceutical, biotech, and medical device companies optimize their data-driven decisions. Their team of experts combines deep biostatistical expertise with advanced data science techniques to deliver high-quality, customized solutions that meet the complex demands of modern healthcare and research. Staburo’s mission is to enhance the success of their clients’ projects by turning complex data into meaningful insights.