Rama Rao

Rama Rao is currently Senior Director and Head of Risk Analytics at PayPal. He leads a team of data analysts who monitor business performance and perform the analytics that go into creating PayPal’s risk policies around the world—boundaries within which users can transact and experience PayPal.

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Darrell Coles

Darrell Coles is a senior research geophysicist at Schlumberger. His research efforts have been in optimal experimental design for industrial-scale geoscientific applications, inverse and optimization theory, uncertainty characterization and control, all in the context of seismic data acquisition and analysis. He has obtained several additional patents and written several peer-reviewed publications since joining Schlumberger and is currently branching into commercial software development and data science.

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F. Dale Morgan is a Professor of Geophysics at the Massachusetts Institute of Technology in the Department of Earth, Atmospheric, and Planetary Sciences and associated with the Earth Resources Laboratory. His current interests are in rock physics, geoelectromagnetism, applied seismology, inverse theory, environmental and engineering geophysics, electrochemistry, and electronic instrumentation.

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Professor Wojciech Matusik is an Associate Professor of Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Laboratory at MIT, where he leads the Computational Fabrication Group. His research interests are in direct digital manufacturing and computer graphics.

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John R. Williams
John R. Williams

Lead Instructor

John R. Williams is a Professor of Civil and Environmental Engineering at MIT. His area of specialty is large scale computer analysis applied to both physical systems and to information.

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Stefanie Jegelka is an X-Consortium Career Development Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, where she is a member of CSAIL, and affiliated with IDSS.

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Tommi Jaakkola is a Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society. He is also a member of the Computer Science and Artificial Intelligence Laboratory. His work pertains to inferential, algorithmic and estimation questions in machine learning, including large scale probabilistic distributed inference, deep learning, and causal inference.

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Regina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology.

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Examine how the latest tools, techniques, and algorithms driving modern and predictive analysis can be applied to produce powerful results, even when using unstructured data. In this highly interactive course, you’ll gain insights into what kinds of problems these methods can and cannot solve, how they can be applied effectively, and what issues are likely to arise in practical applications, particularly in the healthcare field.
Abel Sanchez
Abel Sanchez

Lead Instructor

Dr. Abel Sanchez is the Executive Director of MIT's Geospatial Data Center, pioneering advancements in IoT, Big Data, AI, and Cybersecurity. He architected "The Internet of Things" global network and data analytics platforms for major corporations like SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil, and Boeing. In cybersecurity, Dr. Sanchez designed Cyber Ranges for the Department of Defense and a password firewall for IARPA. His machine learning work includes developing fraud detection frameworks for Accenture. Over the past three years, he has focused on Generative AI, building assistants, agents, and intelligence for sectors such as retail, finance, and government. Dr. Sanchez has also led e-Education software for Microsoft and co-founded the Accenture Technology Academy. He teaches MIT courses on cybersecurity, engineering computation, and data science, has produced over 1000 educational videos, and has taught professionals in 106 countries. He is a distinguished faculty member at MIT Professional Education, specializing in digital transformation.

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