As data grows even more integral to business, it’s easy to see why data engineer was ranked as the fastest growing tech occupation in 2020. The need for data engineers who can build out the infrastructure necessary to put data to work is intensifying, and the MIT xPRO Professional Certificate in Data Engineering can help you meet this demand with job-ready data engineering skills that offer a competitive edge in the marketplace.

Register for this informative webinar to learn more about the upcoming Professional Certificate in Data Engineering program from MIT xPRO.
  • Hear from pioneering thought-leaders
  • Dive deeper into fascinating topics that are changing the world
  • Explore how our multifaceted learning approach will help you create lasting impact
  • ...and so much more!
John R. Williams
Professor of Information Engineering in MIT Department of Civil and Environmental Engineering
John Williams holds a BA in Physics from Oxford University, an MS in Physics from UCLA, and a Ph.D. in Numerical Methods from University of Wales, Swansea. His research focuses on the application of large-scale computation to problems in Cyber-Physical security and energy studies. He is director of MIT’s Geospatial Data Center and from 2006-2012, was Director of the MIT Auto-ID Laboratory, which invented the Internet of Things.

He is author or co-author of over 250 journal and conference papers, as well as the book, RFID Technology and Applications. He contributed to the 2013 report for the UK Office for Science Foresight Project- The Future of Manufacturing.

Alongside Bill Gates and Larry Ellison, he was named as one of the 50 most powerful people in Computer Networks. He consults to companies including Accenture, Schlumberger, SAP Research, Microsoft Research, Kajima Corp, US Lincoln Laboratory, Sandia National Laboratories, US Intelligence Advanced Research Projects Activity, Motorola, Phillip-Morris Inc., Ford Motor Company, Exxon-Mobil, Shell, Total, and ARAMCO.

His international collaborations include HKUST and PolyU Hong Kong, Cambridge University-UK, Imperial College of Science and Technology-UK, Malaysia University of Science and Technology (MUST), KACST Saudi Arabia, Masdar Institute of Science and Technology (Abu Dhabi.)

He organized the first Cyber-Physical Security Conference in the UK (2011) and along with Dr. Sanchez, he runs the MIT Applied Cyber Security Professional Education summer course. At MIT he teaches courses Architecting Software Systems (MIT 1.125) and Engineering Computation and Data Science (MIT 1.00/1.001).
Abel Sanchez
Research Scientist and Executive Director of MIT's Geospatial Data Center
Dr. Abel Sanchez holds a Ph.D. from the Massachusetts Institute of Technology (MIT). He is the Executive Director of MIT's Geospatial Data Center, architect of "The Internet of Things” global network, and architect of data analytics platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil, and Altria. In cyber security, Dr. Sanchez architected impact analysis of large-scale cyber-attacks designing Cyber Ranges for the Department of Defense (DOD).

In password security, Dr. Sanchez led the design of a password firewall (negative authentication) for the Intelligence Advanced Research Projects Activity (IARPA) agency. In machine learning, addressing fraud detection, Dr. Sanchez designed a situational awareness framework that exploits different perspectives of the same data and assigns risk scores to entities for Accenture.

He led the design of a global data infrastructure simulator, modeling follow-the-sun engineering, to evaluate the impact of competing architectures on the performance, availability, and reliability of the system for Ford Motor Company. He has been involved in developing e-learning software for Microsoft via their I-Campus Program and with establishing the Accenture Technology Academy, an online resource for over 200,000 employees.

He has 10 years of experience with learning management systems and has made deployments in America, Asia, and Europe. He teaches MIT courses on cybersecurity, engineering computation, and data science and has produced over 150 educational videos.
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