Description

In this episode, Allissa Dillman interviews Seth Burke about his educational journey from pre-med to genomics, and the importance of public datasets and cloud computing in scientific research. Seth highlights the value of, and opportunities provided by the Common Fund Data Ecosystem for early career researchers, shares insights on integrating multiple types of biomedical data, and offers advice for students interested in the field of genomics. Seth’s recent publication referenced in the podcast can be found here: Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines.

Guest

Seth Berke

Guest Bio

Seth Berke is a graduate of Johns Hopkins University with a B.S. in Molecular and Cellular Biology and an incoming Ph.D. student in Quantitative and Computational Biology at Princeton. His undergraduate research focused on leveraging biomedical cloud platforms to analyze large-scale pediatric genomics data, work that led to presentations at several international conferences and recent manuscript acceptances in leading journals. He currently works as a Research Assistant at the Johns Hopkins Bloomberg School of Public Health, contributing to the NIH Acute to Chronic Pain Signatures Consortium by integrating and analyzing multimodal data. Seth aims to advance precision health by uniting data across biopsychosocial domains to improve the prediction and treatment of complex disease phenotypes.