Meta, a Chan Zuckerberg Science Initiative project, is designed to help users explore scientific research as it evolves in real-time. Using machine learning, Meta quickly analyzes, connects and organizes millions of scientific articles and preprints to build a live map of scientific developments. This allows researchers to easily follow developments, intersections and emerging trends that they may not know to look for or never knew existed.
Meta has built a knowledge graph consisting of five core entities: authors, papers, journals, institutions, and concepts. Powered by graph technology, Meta was created to give the scientific research community a faster way to understand, organize and explore science through personalized feeds.
In this webinar, you’ll learn more about the knowledge graph powering Meta, and how this technology connects data for groundbreaking scientific research.
Krunal Patel is Sr. Engineering Leader at the Chan Zuckerberg Initiative. Krunal has proven expertise in designing, architecting and delivering complex enterprise-grade software products. His management skills have helped him lead technical and business teams, coordinate consultants, and direct high impact and high visibility programs to success. Krunal is passionate about building data platforms for analytics in life science domain. Prior to working with CZI, Krunal was vice president for Engineering at Saama Technologies where he designed and architected SaaS product for clinical trial optimization. Krunal has expertise in Java, Python, Cloud Platforms and ML.
Ziyang Liu is a data engineer at Chan Zuckerberg Initiative who partners with data scientists and data analytics to build machine learning algorithms that runs at scale. He has a deep passion for leveraging his technical skills towards building science discovery projects like Meta. He is proficient in Java, Python, AWS Tech Stacks, Kubernetes and Neo4j. Ziyang holds a bachelor’s degree in computer science from the University of Waterloo.
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