Edmon Begoli

Edmon Begoli

Chief Data Architect

Bio

Edmon Begoli, PhD, is the Chief Data Architect and a Senior Member of the Research Staff with Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). In this role, Edmon is responsible for the research and development of the advanced data-centric platforms and solutions in support of the applied research and mission-oriented programs, and for technical oversight of the data-related research programs. Edmon specializes in large-scale, heterogeneous platforms and methods for analytic data processing. He currently serves as the Principal Investigator (PI) for the joint DOE and VA precision medicine program (MVP CHAMPION). During his tenure at ORNL, Edmon also led several major national projects in healthcare and defense, and was a chief architect for Knowledge Discovery Initiative (KDI) for Centers for Medicare and Medicaid Services (CMS) -- a large national program aimed at developing a platform for comprehensive and longitudinal analysis of the largest structured healthcare dataset (CMS data).

Prior to serving as the Chief Data Architect at ORNL, Edmon was a Chief Data Officer at the Joint Institute for Computational Sciences/National Institute for Computational Sciences (JICS/NICS), a NSF funded XSEDE national supercomputing facility and a joint institute between ORNL and University of Tennessee (UT).  While at JICS, Edmon was one of the core members of the team that won the NSF-funded Southeast "Big Data" Hub, and was a principal investigator on a research project for the Intel Parallel Computing Center (PCC). Prior to working at the research institutes, Dr. Begoli held technology leadership positions at the large commercial organizations.  He is a member of the Apache Software Foundation as a committer on the Apache Calcite project, and he is a principal member of the INCIT DM32.2 Task Group on Database responsible for development of standards for the syntax and semantics of database languages. His research interests are in machine meta learning from data, and automated data engineering.

Edmon holds undergraduate, graduate, and doctoral degrees in Computer Science. 

LinkedIn Profile

Awards

  • Heidelberg Laureate Forum - Early Career Researcher, 2016. Mentor: Sir Michael Atiyah

  • Nashville Technology Council (NTC) - CTO of the Year, finalist, 2014

  • Tennessee Commissioner Mitchel (Department of Safety), A Letter of Commendation, 2011

  • OPM e-Government Initiative, NSC Y-12 Team Award, 2005

  • Made in Express, Microsoft Global Programming Competition, finalist, 2005

  • Lucent Technologies, EAI Implementation, CIO’s Letter of Commendation for Outstanding

    Performance, 2002

  • Multiple Undergraduate Honors, Magna Cum Laude, Upsilon Pi Epsilon CS Honors Society 

Projects

MVP CHAMPION - a VA and DOE Collaboration on Precision Medicine Initiatives and Improvements of Care for US Veterans using Advanced Analytics Methods.

Knowledge Discovery Infrastructure (KDI) for US Centers for Medicare and Medicaid Services (CMS).

Publications

Select Publications:

Begoli E., Mior M., Camacho-Rodrıguez J., Hyde J., Lemire D. (2018, June) "Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources", To appear in Proceedings of the 2018 International Conference on Management of Data (SIGMOD), 2018 Houston, Texas, USA.  

Begoli, Edmon, and James Horey. "Design principles for effective knowledge discovery from big data." In Software Architecture (WICSA) and European Conference on Software Architecture (ECSA), 2012 joint working IEEE/IFIP conference on, pp. 215-218. IEEE, 2012.

Begoli, Edmon, Pragneshkumar Patel, and J. Blair Christian. "Storage and Read-Optimized Data Placement Structures for High-Performance Analysis." In Optimization Challenges in Complex, Networked and Risky Systems, pp. 171-184. INFORMS, 2016.

Begoli, Edmon, J. Blair Christian, Vijay Gadepally, and Stavros Papadopoulos. "An Emerging Role for Polystores in Precision Medicine." In VLDB Workshop on Data Management and Analytics for Medicine and Healthcare, pp. 41-52. Springer, Cham, 2017.

Begoli, Edmon, Ted Dunning, and Charlie Frasure. "Real-Time Discovery Services over Large, Heterogeneous and Complex Healthcare Datasets Using Schema-Less, Column-Oriented Methods." In Big Data Computing Service and Applications (BigDataService), 2016 IEEE Second International Conference on, pp. 257-264. IEEE, 2016.

Begoli, Edmon, Vincent Schlegel, Michael Atiyah, Praise Adeyemo, and Tim Baarslag. "The Heidelberg Laureate Forum on the moving frontier between mathematics and computer science." XRDS (2017): 45.

All Publications:

Google Scholar Profile

ORCID: 0000-0002-2173-3663 

Contact Information