Big Data Technologies for Biomedical Knowledge Discovery – YouTube

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Big Data Technologies for Biomedical Knowledge Discovery

Ravi Madduri, Senior Computational Scientist at University of Chicago & Argonne National Laboratory, presents a webinar titled, “Building Scientific Workflow Communities via the Galaxy Framework.”

Video Description
In this talk, we will present the “Big Data” biomedical discovery technologies, end-to-end solutions, and applications developed at the Big Data for Discovery Science (BDDS) Center of Excellence for Big Data Computing in Biomedical Research. The BDDS center itself is uniquely focused on handling big data in biomedical research. The center introduces solutions to key biomedical informatics challenges such as big data organization, storage, processing, distribution, and sharing data across collaborative networks. All BDDS developments aim for interaction of basic science, biological and engineering researchers using vast data collections and distant computers and storage systems to explore, interact and understand what the data mean and to derive knowledge from them. In this talk we will describe the technologies that we are developing for addressing the complexity, scalability of analysis, and ease of interaction with big data and associated analytic methods.

About the Speaker
Ravi is a senior computational scientist at the University of Chicago and Argonne National Laboratory. His research interests are in large-scale computation and data management. He leads the Globus Genomics project (www.globusgenomics.org), which is widely used for genomics, proteomics, and other biomedical computations on cloud-based and other HPC platforms. For his work on creating tools for data analysis in cancer biology, he received an “Outstanding Achievement Award” by the NIH in 2007. He contributed his expertise to initiatives on data sharing and online collaboration for biomedical research, the classification and prediction of Parkinson’s disease, response to chemotherapy in thoracic oncology, and genomic risk factors in schizophrenia. He recently participated in the Vice President’s Cancer Moonshot project receiving an award from the Secretary of the U.S. Department of Energy (DOE).

View slides from this lecture:
https://drive.google.com/open?id=1UfwDRGo5dzmKTO6M8sfFFraTI4AGFjVF

Visit our webpage to view archived videos covering various topics in data science:
https://bigdatau.ini.usc.edu/data-science-seminars

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