An Introduction to Crafting Presentations That Connect for Statisticians

Communicating statistical research effectively is a crucial skill for engaging diverse audiences, from academic peers and clinical collaborators to industry partners and policymakers. This webinar provides practical guidance on designing and delivering compelling presentations about methodological and applied statistics projects. We will cover best practices and tools for slide design, strategies for conveying complex concepts clearly, key principles for making talks accessible and engaging, how to tailor presentations to different audiences, and opportunities to incorporate AI-powered tools.
A continuation of this webinar will be offered as a workshop-style session at the ENAR Spring Meeting, emphasizing collaborative exercises and introducing additional topics. While the webinar and the ENAR tutorial are designed to stand alone, they complement each other, and we recommend attending both for a comprehensive learning experience.

Dr. Ana M. Ortega-Villa is an Associate Director of Biostatistics at Biogen. Prior to this role, she served as a mathematical statistician at the National Institute of Allergy and Infectious Diseases (NIAID). She completed postdoctoral fellowships at the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Cancer Institute, and earned her PhD in Statistics from Virginia Tech, where she currently serves as an Adjunct Professor.
Her interests include design and analysis of clinical trials and observational studies, longitudinal data, mixed models, postpartum depression, immunology, research capacity building, statistics education, and initiatives that foster a culture of belonging.

Dr. Sarah Lotspeich is an Assistant Professor in Statistical Sciences at Wake Forest University. Sarah completed a postdoctoral fellowship in Biostatistics at UNC Chapel Hill and earned her Ph.D. in Biostatistics from Vanderbilt University. She is enthusiastic about mentoring student research and co-leads various collaborative labs. Her research tackles challenges in analyzing error-prone observational data, focusing on international HIV cohorts, electronic health records, and neighborhood food environments.

**Please note that you do not need to attend Tutorial 3 to participate in this webinar. This session will give you a jump start on the tutorial, but it is also a standalone webinar. We would love to have you join us!