Professor John R. Williams’ research focuses on the development and application of computing algorithms in distributed cyberphysical systems. He was director of the Auto-ID Laboratory, where the Internet of Things was invented. He is considered, along with Bill Gates and Larry Ellison, one of the 50 most powerful people in “Computer Networks”.

He is author and coauthor of more than 250 articles in journals and conferences. Professor Williams teaches courses on the basics of programming, modern software development, the architecture of web, cloud and blockchain systems. In addition, he holds a BSc in Physics from Oxford University, an MSc in Physics from UCLA, and a PhD from the University of Swansea.

Dr. Sanchez is the architect of the global network “The Internet of Things” and data analysis platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil and Altria. In cyber security, he has developed cyber-attack impact analyses for the U.S. Department of Defense and a password firewall for the IARPA.

Dr. Abel Sanchez holds a PhD from the Massachusetts Institute of Technology (MIT) and teaches MIT courses in cyber security, engineering, blockchain and data science. He has been involved in developing educational software for Microsoft and establishing the Accenture Technology Academy. He has produced over 150 educational videos, has 10 years of experience with learning management systems and has made deployments in the Americas, Asia and Europe.

Armando Solar-Lezama is a professor in the Department of Electrical Engineering and Computer Science at MIT. He serves as the Associate Director and Chief Operating Officer of the Computer Science and Artificial Intelligence Laboratory (CSAIL), where he leads the Computer-Aided Programming Group. Solar-Lezama and his research team focus on program synthesis, an area of research at the intersection of programming systems and artificial intelligence.

He is currently the principal investigator of the NSF-funded project “Expeditions: Understanding the World through Code” and is also the founder of playskript.com, an online platform for creating interactive presentations. Solar-Lezama earned his PhD from the University of California, Berkeley.

Affiliations:

• CSAIL: Vertical AI Community of Research; Applied Machine Learning Community of Research; Computation Structures Group; Center for Deployable Machine Learning (CDML)
  • Associate Director and COO, Computer Science and Artificial Intelligence Laboratory
• LEAD: Computer-Aided Programming Group

Areas of Interest and Expertise:

• Programming systems focused on software synthesis
• Programming tools for computation
• High performance
• Cybersecurity

https://www.csail.mit.edu/person/armando-solar-lezama

Jacob DePriest is Vice President and Deputy Chief Security Officer at GitHub. Prior to that, he was a senior executive at the National Security Agency, where he built and led the Developer Experience program. He has also been the agency's executive sponsor for open source, and led a number of IT and security transformation initiatives.
DePriest has over 15 years of experience as an engineer in cybersecurity, cloud architecture, and organizing technical teams.

Susan Doniz is the chief information officer of The Boeing Company and senior vice president of Information Technology & Data Analytics, where she leads all aspects of information technology, information security, data and analytics. She also supports the growth of Boeing's business through IT and analytics-related revenue-generating programs. Doniz is a member of the company’s Executive Council.

Before joining Boeing in 2020, Doniz was the Group CIO of Qantas Airways, where she expanded the airline’s digital ecosystem and adopted new technology to support the needs of the business and its customers.

Previously, during a 17-year career at Procter & Gamble, she led IT and Analytics programs in support of sales, research and development, the supply chain, as well as a cross-functional program to digitize the company. Doniz also worked at SAP, where she was a strategic adviser to the global chief executive officer on transformation and technology issues in support of customers, and Aimia.

Doniz has been a board member of multiple nonprofit organizations, including The Women’s College Hospital Foundation, Salvation Army and Engineers Without Borders. She serves as an adviser to the Center for Digital Transformation at the University of California, Irvine, Paul Merage School of Business and was previously the vice chair of the Digital Transformation Advisory Council of the International Air Transport Association."

Katie M. Lewis received her PhD from MIT in Developing Domain-Specific Generative Models. As a research assistant, she developed the GIST method to generate fine-grained image-specific text descriptions using LLMs. She also developed a learning-based method to align sparse, clinical MRI brain scans with higher accuracy on 92% of subjects and 100x faster on the CPU.

Some of her generative machine learning publications include At the Intersection of Conceptual Art and Deep Learning: The End of Signature, Generating Image-Specific Text for Fine-grained Object Classification, and Machine Learning for Healthcare (ML4H) at NeurIPS 2018.

She recently defended her dissertation under the supervision of John Guttag and Frédo Durand and has interned twice with Ira Kemelmacher-Shlizerman's team at Google.

Mark Schwartz is an award-winning CIO currently working as Enterprise Strategist at Amazon Web Services, where he helps senior executives from some of the world’s largest companies to formulate strategies and overcome impediments to succeeding in the digital era.

Mark Schwartz is also an accomplished author and his most recent work titled Adaptive Ethics for Digital Transformation touches on how the act of digital transformation requires a change in the moral outlook and ethical assumptions of a business.

In 2010, Mark Schwartz was named one of the Premier 100 IT Leaders by Computerworld Magazine for his contribution in technology leadership, innovative ideas, and effectively managing IT strategies.