Currently, there exist thousands of biological databases containing terabytes of publicly available data. With so much data scattered in so many centralized locations, it is virtually impossible to facilitate database interoperability at scale, making the computational process of unified and comprehensive data-driven biological discovery difficult.
In this talk we consider the impact of decentralizing the metadata describing the contents of these respective data files, and computing on these metadata descriptions through a combination of human-based and machine learning-based approaches within the context of a blockchain infrastructure.
Bohdan Khomtchouk, Ph.D. is a Postdoctoral Research Fellow working in the field of bioinformatics and computational biology in the Department of Biology at Stanford University. Bohdan's research involves understanding the data science behind aging-related diseases as well as designing and implementing artificial intelligence and machine learning algorithms to organize the world's biological information at a massive scale working at the interdisciplinary interface of big data, integrative bioinformatics, multi-omics, natural language processing, and statistical learning. Bohdan is also the founder and organizer of the Biolisp organization and the Stanford R Group.
For More Information, please contact Dr. Dario Ghersi at 402.554.2097 or email@example.com
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