Dr. Alexander Schacht is an accomplished statistician with an extensive background in biostatistics, evidenced by a PhD from the University of Göttingen and over 20 years of experience in the healthcare sector. Specializing in advanced phases of clinical research, Alexander has been pivotal in phase IIIb and IV studies, balancing the intricacies of regulatory compliance with commercialization and HTA submissions. His profound understanding of non-parametric statistics has not only led to the authorship of over 70 scientific papers but has also established him as a prominent voice at international conferences, where he shares insights on topics ranging from methodological innovations to data-driven decision-making in the pharmaceutical industry.

Alexander's passion for teaching is rooted in his commitment to equipping the next generation of medical professionals with robust statistical know-how. As the founder of The Effective Statistician, he has developed a platform that transcends traditional learning, incorporating a popular weekly podcast and a suite of online resources to foster a dynamic educational community. His engagement with students extends beyond the course content, drawing on a wealth of real-world experience and a fervent belief in the power of statistics to positively impact patient outcomes worldwide. Alexander's proactive approach to teaching, coupled with his active roles in professional societies focused on benefit-risk assessment and data visualization, make him uniquely qualified to lead medical professionals through the data-driven landscape of modern medicine.

Chantelle Cornett, BSc (Hons), MSc, is a Health Informatics PhD Candidate at the University of Manchester and a Statistician at The Effective Statistician. With over three years of experience, she excels in data analytics, statistics, and statistical programming. Her academic foundation includes a BSc in Statistics from University College London and an MSc in Medical Statistics from the London School of Hygiene and Tropical Medicine.

Chantelle's work is marked by a publication in the "Research Synthesis Methods" journal highlighting her contributions to statistical methodologies in health informatics. She is committed to leveraging data to enhance healthcare outcomes, reflecting her passion for both the academic and practical applications of her field.

Her dedication extends beyond professional achievements; she has volunteered as a data analyst at The Neurological Alliance, applying her expertise to support individuals with neurological conditions. This role underscores her commitment to using statistics for societal benefit.

Aiming to drive innovation in statistical modelling, Chantelle's career aspirations focus on the development of new statistical methods to tackle complex health informatics challenges notably those in women's health. Her work embodies a blend of rigorous academic research and practical application, aimed at advancing the field of health informatics and statistics.