As part of ENAR's education initiative, our webinars promote continuing education for professional and student statisticians by disseminating cutting-edge knowledge to our membership. An ENAR webinar (or "WebENAR") can strengthen your background in methodology and software, provide an opportunity to learn about a topic outside of your primary area of specialization, or deepen your understanding of an area in which you already work. We invite you to participate and benefit from the expertise of some of North America's leading statisticians and biostatisticians.
The Webinar Committee of the ENAR Regional Advisory Board (RAB) is coordinating this ongoing series of 1- to 2-hour webinars given by renowned experts. Registration is free for current ENAR members. The webinars are planned to be broadly available and we encourage groups at your institution or workplace to participate together. WebENARs provide excellent learning opportunities for students and professionals alike.
Registration fees are waived for ENAR members, however, advance registration is still required for all attendees. Please email enar@enar.org if you have any questions.
DataFest 2026 Information Session for Students and Mentors
Wednesday, November 19, 2025
3-4 pm
Speakers:
Anarina L. Murillo, PhD, Brown University School of Public Health
Ziyi Li, PhD, University of Texas MD Anderson Cancer Center
Liangliang Zhang, PhD, Case Western Reserve University
This webinar is designed as an introduction to the DataFest 2026 data and the accompanying website/shiny application for data exploration, as well as a time to ask any questions before joining the third annual DataFest competition. This WebENAR is designed for students who want to learn more about participating, as well as anyone who is interested in serving as a mentor or judge.
For more information about DataFest, check out our website: https://www.enar.org/meetings/spring2026/program/datafest_submission.cfm
Speaker Bios:
Dr. Anarina Murillo, is an Assistant Professor of Biostatistics on the Teaching Scholar Track at Brown University School of Public Health. Her research interests are broadly in the intersection of longitudinal data analysis and measurement error with applications in nutrition and cardiovascular disease.
Dr. Ziyi Li is an Assistant Professor of Biostatistics at The University of Texas MD Anderson Cancer Center, with adjunct appointments at Rice University and the UTHealth School of Public Health. Her research focuses on developing and applying advanced statistical and machine learning methods for complex biomedical data, including spatial transcriptomics, single-cell omics, and electronic health records.
Dr. Liangliang Zhang is an Assistant Professor in the Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine. His research investigates the role of the microbiome in disease progression and involves developing bioinformatic and biostatistical methods for microbiome data analysis. His methodological interests include Bayesian modeling, high-dimensional inference, and AI-driven approaches.
Register for WebENAR on 11/19/25.
