Webinar: Biostatistics seminar – “Support, Leadership, and Impact: Emerging Roles of Biostatisticians in the Big Data World”
October 28, 12:00 pm to 1:00 pm
“Support, Leadership, and Impact: Emerging Roles of Biostatisticians in the Big Data World” will be presented by Jeffrey Morris, PhD, Professor and Director of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania.
Biostatisticians have always played an important role in collaborating with biomedical researchers in design and analysis of scientific studies. In the emerging world of big, complex data, the role of a biostatistician is expanding and becoming ever more crucial. In this new world, scientists are inundated with large, information-rich datasets containing a treasure trove of information underlying disease biology. The standard analytical approaches from the past are often insufficient to extract the reproducible insights and true knowledge from these data, making analytics perhaps the key limiting factor in biomedical research today. In the realm of data science, biostatisticians, with their deep understanding of variability, correlation and uncertainty and their broad analytical toolbox, play a central role in the efforts to extract this knowledge. In this talk, Dr. Morris will outline what he views as other key roles of biostatisticians that have emerged in the big data world, including:
- ensuring reproducibility;
- developing flexible, new methods to extract knowledge from complex, high-dimensional data;
- applying innovative analytics to available big-data resources to make primary biomedical discoveries; and
- working proactively within interdisciplinary working groups to discover novel insights from available big data, insights that can be biologically validated and clinically translated by team members to produce transformative therapeutic advances.
Dr. Morris will give examples from his own research in which he strives to contribute in these ways. As biostatisticians step up and serve these roles in the context of a rich team-science environment, the associated research teams have the potential to make dramatic discoveries that shape the future of medicine.
Participants may also join by calling 929-205-6099, meeting ID 322 043 373. If prompted, enter passcode 167660.