Dr. Rédina Berkachy is a Senior Researcher and Lecturer affiliated with the Public Integrity Research Group at the Università della Svizzera italiana and the HES-SO University of Applied Sciences and Arts of Western Switzerland. She earned her Ph.D. in statistics with “Summa Cum Laude” honours from the University of Fribourg, where she was a Research Fellow with the Applied Statistics and Modeling (ASAM) Group in the Department of Informatics. Her expertise spans applied statistics, fuzzy logic, and probabilistic modeling, focusing on advanced statistical techniques for handling uncertainty in data. Dr. Berkachy's research applies these methodologies across various fields—including econometrics, engineering, health, and political science—resulting in numerous peer-reviewed publications. Her current interests include utilizing sophisticated statistical approaches to address issues of corruption, transparency, and governance, as well as promoting Open Research Data (ORD) as a tool to combat corruption. In addition to her research, Dr. Berkachy is an engaged academic, participating in conferences and public outreach initiatives aimed at demystifying statistical research. Among her publications are the book entitled “The Signed Distance Measure in Fuzzy Statistical Analysis” and an R package, "FuzzySTs: Fuzzy Statistical Tools". She actively promotes access to fuzzy logic techniques and their application in real-world statistical models.