Alexander H. Slocum is the Pappalardo Professor of Mechanical Engineering at MIT. Alex has written two books on machine design Precision Machine Design and FUNdaMENTALs of Design (free download on http://pergatory.mit.edu), published more than 150 papers, and has 116+ issued patents. Alex regularly works with companies on the development of new products and has been significantly involved with the invention and development of 11 products that have been awarded R&D 100 awards.
Alex is a Fellow of the ASME and the recipient of the Society of Manufacturing Engineer’s Frederick W. Taylor Research Medal, ASME Leonardo daVinci Award, the ASME Machine Design Award, and the Association of Manufacturing Technology Charlie Carter Award.
Alex’s areas of interest broadly include precision machine design as applied to machines and instruments for agriculture, healthcare, energy and water systems. He also seeks to help Fellows identify symbiotic opportunities where one system’s problem can be another system’s opportunity.
Cathy Wu works at the intersection of machine learning, optimization, and large-scale urban systems and other societal systems. Her recent research focuses on mixed autonomy systems in mobility, which studies the complex integration of automation such as self-driving cars into existing urban systems. She is broadly interested in developing principled computational tools to enable reliable and complex decision-making for critical societal systems.
She received her B.S. and M.Eng in EECS at MIT in 2012 and 2013, and a Ph.D. in EECS at UC Berkeley in 2018. She has received numerous fellowship, best paper, and teaching awards. Throughout her career, Cathy has collaborated and worked broadly across fields, including transportation, computer science, electrical engineering, mechanical engineering, urban planning, and public policy, and institutions, including Microsoft Research, OpenAI, the Google X Self-Driving Car Team, AT&T, Caltrans, Facebook, and Dropbox. As the founder and Chair of the Interdisciplinary Research Initiative within the ACM Future of Computing Academy, she is actively building international programs to unlock the potential of interdisciplinary research in computing.
My research focuses on two goals: (1) dataset uncertainty estimation, (2) the synergy of artificial intelligence to augment human intelligence. To this end, I established confident learning, a family of theory and algorithms for characterizing, finding, and learning with label errors in datasets, and cleanlab, the official Python framework for machine learning and deep learning with noisy labels in datasets. For an overview of my published research, please visit Google Scholar.
In addition to my MIT research, I am Chief AI Scientist at Knowledge AI, the principal author of the L7 machine learning blog, PomDP the PhD rapper, and a contingent research scientist at Oculus Research.
In my spare time, I help researchers build affordable state-of-the-art deep learning machines and enjoy competitive mountaineering, hiking, and cycling.
Some awards I’ve received include the MIT Morris Joseph Levin Masters Thesis Award, the NSF GRFP Fellowship, the Barry M. Goldwater National Scholarship, and the Vanderbilt Founder’s Medal (Valedictorian). I created the cheating detection system used by MITx and HarvardX online course teams, particularly in MicroMasters courses. At MIT, I TA’d 6.867, a 400-person advanced graduate machine learning course.
Daniel Jackson is a professor in the Department of Electrical Engineering and Computer Science, associate director of CSAIL, and a MacVicar Fellow. He leads the Software Design Group. He received an MA from Oxford University in Physics, and his SM and PhD from MIT in Computer Science. He was a software engineer for Logica UK Ltd. and Assistant Professor of Computer Science at Carnegie Mellon University before joining the MIT faculty in 1997.
He has broad interests in software engineering, especially in development methods, design and specification, formal methods, and safety critical systems.
Elazer R. Edelman, M.D., Ph.D., is the Edward J. Poitras Professor in Medical Engineering and Science at MIT, Professor of Medicine at Harvard Medical School, and Senior Attending Physician in the coronary care unit at the Brigham and Women’s Hospital in Boston. He and his laboratory have pioneered basic findings in vascular biology and the development and assessment of biotechnology. Dr. Edelman directs MIT’s Institute for Medical Engineering and Science (IMES) and Clinical Research Center (CRC) as well as the Harvard-MIT Biomedical Engineering Center (BMEC) – all dedicated to applying the rigors of the physical sciences to elucidate fundamental biologic processes and mechanisms of disease.
Dr. Edelman received Bachelor of Science degrees in Bioelectrical Engineering and in Applied Biology from MIT, a Master of Science degree in Electrical Engineering and Computer Sciences from MIT, a Ph.D. in Medical Engineering and Medical Physics from MIT, and an M.D. degree from Harvard Medical School. His graduate thesis work, under the direction of Prof. Robert Langer, defined the mathematics of regulated and controlled drug delivery systems. After internal medicine training and clinical fellowship in Cardiovascular Medicine at the BWH he spent six years as a research fellow in the Department of Pathology at Harvard Medical School with Prof. Morris J. Karnovsky working on the biology of vascular repair.
His research interests meld his medical and scientific training to better understand underlying biology for application towards improved clinical decision making and device design. For example, his work examining the cellular and molecular mechanisms that produce atherosclerosis and coronary artery disease led to the development and optimization of the first bare-metal stents, as well as subsequent iterations on the technology including drug-eluting stents.
Through a focus on understanding how tissue architecture and biochemical regulation contribute to local growth control, Edelman and his students were among the first to validate that proliferative vascular diseases are the sum of effects from endogenous growth promoters and suppressors. Their characterization of how heparin-like compounds serve as suppressors and heparin-binding growth factors as promoters contributed to the creation of a rigorous framework by which to appreciate how these agents interact with one another in-vivo. This work and advanced studies of endothelial cell and vascular biology led to the discovery the mutable dynamic of vascular endothelial state and its importance in tissue paracrine and angiocrine regulation in vascular diseases and now cancer. To apply their work, the group reasoned that the optimal way to control a biologic event was by recapitulating natural means of regulation. Hence, polymeric controlled drug delivery systems should mimic natural release systems, and vascular implants should be devised with an intimate knowledge of the injury they induce. The development and mathematical characterization of perivascular and stent-based drug delivery is an example of the former, and design of an endovascular and drug-eluting stent from first principles and therapeutic tissue engineered endothelial cell constructs is an example of the latter. More recently, these principles have been applied towards the development of novel mechanical organ support and heart valves.
Many of his findings have been or are now in clinical trial validation. More than 300 students and postdoctoral fellows have passed through Dr. Edelman’s laboratory enabling publication of over 680 original scientific articles and some 80 patents.
Dr. Edelman is a fellow of the American College of Cardiology, the American Heart Association, the Association of University Cardiologists, the American Society of Clinical Investigation, American Institute of Medical and Biological Engineering, the American Academy of Arts and Sciences, National Academy of Inventors, the Institute of Medicine/National Academy of Medicine, and the National Academy of Engineering. As Chief Scientific Advisor of Science: Translational Medicine he has set the tone for the national debate on translational research and innovation. As co-founder of ASTM F04.03 he helped create standards for cardiovascular implants. He served as a member of FDA’s Science Board and an ORISE fellow in the FDA EIR. For his work bringing cardiovascular translational research to an international level of excellence, the Spanish Parliament and King Juan Carlos awarded Dr. Edelman with the Spanish Order of Civil Merit for his work. Most importantly, Elazer is an avid ice hockey goalie, and with his wife Cheryl are parents to comedian and writer Alexander, Olympic athlete AJ, and Austin.
Marty Culpepper, a Professor of Mechanical Engineering, is MIT’s first Maker Czar. He leads MIT’s effort to upgrade legacy spaces/equipment, introduce new technologies, create new campus makerspaces, foster maker communities, and collaborate with peer universities, alumni, government, and industry. Professor Culpepper is the recipient of an NSF Presidential Early Career Award, two R&D 100 awards, a TR100 award, and a Joel and Ruth Spira Teaching Award. His areas of expertise are in Precision Engineering, Manufacturing, and Thermo/Fluid system design.
He is a self-described gear head who loves working on his Ducati and Mustang, but not as much as riding/driving them. He loves building things at MIT and at home in his own shop. His favorite maker tools are mills and waterjets, though he’s become fond of glass blowing.
Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on Machine Learning and Imaging for health and sustainability. They span research in physical (e.g., sensors, health-tech), digital (e.g., automated and privacy-aware machine learning) and global (e.g., geomaps, autonomous mobility) domains.</p> <p>At MIT, his co-inventions include camera to see around corners, femto-photography, automated machine learning (auto-ML), private ML (split-learning), low-cost eye care devices (Netra,Catra, EyeSelfie), a novel CAT-Scan machine, motion capture (Prakash), long distance barcodes (Bokode), 3D interaction displays (BiDi screen), new theoretical models to augment light fields (ALF) to represent wave phenomena and algebraic rank constraints for 3D displays(HR3D).</p> <p>In his recent role at Facebook, he launched and led innovation teams in Digital Health, Health-tech, Satellite Imaging, TV and Bluetooth bandwidth for Connectivity, VR/AR and 'Emerging Worlds' initiative for FB.</p> <p>Before MIT, he co-invented techniques for AR, Computational Photography, Shader Lamps (projector-AR), composite RFID (RFIG), multi-flash non-photorealistic camera for depth edge detection, quadric transfer methods for multi-projector curved displays.</p> <p>He received the Lemelson Award 2016 and ACM SIGGRAPH Achievement Award 2017, Technology Review TR100 award 2004 (which recognizes top young innovators under the age of 35), Global Indus Technovator Award (top 20 Indian technology innovators worldwide) 2003, Alfred P. Sloan Research Fellowship award 2009 and Darpa Young Faculty award 2010. Other awards include Marr Prize honorable mention 2009, LAUNCH Health Innovation Award, presented by NASA, USAID, US State Dept+ NIKE, 2010, Vodafone Wireless Innovation Award (first place) 2011.</p> <p>His work has appeared in NYTimes, CNN, BBC, NewScientist, TechnologyReview and several technology news websites.</p> <p>His invited and keynote talks include TED, Wired, TEDMED, Darpa Wait What, MIT Technology Review, Google SolveForX and several TEDx venues.</p> <p>His co-authored books include Spatial Augmented Reality, Computational Photography and 3D Imaging (both under preparation).</p> <p>He has worked on special research projects at Google [X], Facebook, Apple and co-founded/advised several startups. He launched REDX.io, a platform for young innovators to explore AI-for-Impact. He frequently consults for dynamic organizations to conduct 'SpotProbing' exercises to spot opportunities and probe solutions.</p> <p>He holds 90+ US patents.
Retsef Levi is the J. Spencer Standish (1945) Professor of Operations Management at the MIT Sloan School of Management. He is a member of the Operations Management Group at MIT Sloan and affiliated with the MIT Operations Research Center. Levi also serves as the Faculty Co-Director of the MIT Leaders for Global Operations (LGO).
Before coming to MIT, he spent a year in the Department of Mathematical Sciences at the IBM T.J. Watson Research Center as the holder of the Goldstine Postdoctoral Fellowship. He received a Bachelor’s degree in Mathematics from Tel-Aviv University (Israel) in 2001, and a PhD in Operations Research from Cornell University in 2005. Levi spent almost 12 years in the Israeli Defense Forces as an officer in the Intelligence Wing and was designated as an Extra Merit Officer. After leaving the Military, Levi joined an emerging new Israeli hi-tech company as a Business Development Consultant.
Levi’s current research is focused on the design of analytical data-driven decision support models and tools addressing complex business and system design decisions under uncertainty in areas such as health and healthcare management, supply chain, procurement and inventory management, revenue management, pricing optimization and logistics. He is interested in the theory underlying these models and algorithms, as well as their computational and organizational applicability in practical settings. Levi has been leading several industry-based collaborative research efforts with some of the major academic hospitals in the Boston area, such as Mass General Hospital (MGH), Beth Israel Deaconess Medical Center (BIDMC), Children’s Hospital, and across the U.S. (e.g., Memorial Sloan Kettering Cancer Center, NYC Presbyterian Hospital System and the American Association of Medical Colleges). Levi was the PI on an MIT contract with the Federal Drug Administration (FDA) to develop systematic risk management approach to address risk related to economically motivated adulterations of food manufactured in global supply chains. With a multi-million award from the Walmart Foundation, Levi currently leads a multi-year U.S.-China collaborative effort to develop new predictive risk analytics tools and testing technologies and platforms to address core food safety challenges in China. Levi has also been involved in developing operational risk and process safety management methodologies for various organizations in the healthcare, pharmaceutical and oil industries. Levi received the NSF Faculty Early Career Development award, the 2008 INFORMS Optimization Prize for Young Researchers, the 2013 Daniel H. Wagner Prize and the 2016 Harold W. Kuhn Award.
Levi teaches regularly courses on operations management, analytics, risk management, system thinking and healthcare to students from various degree and non-degree programs including MBA, Executive MBA, PhD, Master and Undergraduate students as well as Executive Education programs. His Healthcare Lab course attracts students from across the MIT campus and engages major industry partners and leaders. Levi has graduated 10 PhD students, 34 Master students and 6 postdoctoral fellows. He was also awarded several prestigious teaching awards.
Professor Rivest is the Vannevar Bush Professor of Electrical Engineering and Computer Science in MIT’s Department of Electrical Engineering and Computer Science, and a leader of the Cryptography and Information Security research group within MIT’s Computer Science and Artificial Intelligence Laboratory. He received a B.A. in Mathematics from Yale University in1969, and a Ph.D. in Computer Science from Stanford University in 1974.
He is a Fellow of the Association for Computing Machinery and of the American Academy of Arts and Sciences, and is also a member of the National Academy of Engineering.
Julie Shah is an Associate Professor in the Department of Aeronautics and Astronautics at MIT and leads the Interactive Robotics Group of the Computer Science and Artificial Intelligence Laboratory. Shah received her SB (2004) and SM (2006) from the Department of Aeronautics and Astronautics at MIT, and her PhD (2010) in Autonomous Systems from MIT. Before joining the faculty, she worked at Boeing Research and Technology on robotics applications for aerospace manufacturing. She has developed innovative methods for enabling fluid human-robot teamwork in time-critical, safety-critical domains, ranging from manufacturing to surgery to space exploration. Her group draws on expertise in artificial intelligence, human factors, and systems engineering to develop interactive robots that emulate the qualities of effective human team members to improve the efficiency of human-robot teamwork.
Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus’ research interests are in robotics, artificial intelligence, and data science.
The focus of her work is developing the science and engineering of autonomy, toward the long-term objective of enabling a future with machines pervasively integrated into the fabric of life, supporting people with cognitive and physical tasks. Her research addresses some of the gaps between where robots are today and the promise of pervasive robots: increasing the ability of machines to reason, learn, and adapt to complex tasks in human-centered environments, developing intuitive interfaces between robots and people, and creating the tools for designing and fabricating new robots quickly and efficiently. The applications of this work are broad and include transportation, manufacturing, agriculture, construction, monitoring the environment, underwater exploration, smart cities, medicine, and in-home tasks such as cooking.
Rus serves as the Associate Director of MIT’s Quest for Intelligence Core, and as Director of the Toyota-CSAIL Joint Research Center, whose focus is the advancement of AI research and its applications to intelligent vehicles. She is a member of the Toyota Research Institute advisory board.
Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She is the recipient of the 2017 Engelberger Robotics Award from the Robotics Industries Association. She earned her PhD in Computer Science from Cornell University.
Professor Alex ‘Sandy’ Pentland directs MIT Connection Science, an MIT-wide initiative, and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited computational scientists in the world, and Forbes recently declared him one of the “7 most powerful data scientists in the world” along with Google founders and the Chief Technical Officer of the United States. He is on the Board of the UN Foundations’ Global Partnership for Sustainable Development Data, co-led the World Economic Forum discussion in Davos that led to the EU privacy regulation GDPR, and was central in forging the transparency and accountability mechanisms in the UN’s Sustainable Development Goals. He has received numerous awards and prizes such as the McKinsey Award from Harvard Business Review, the 40th Anniversary of the Internet from DARPA, and the Brandeis Award for work in privacy.
He is a member of advisory boards for the UN Secretary General and the UN Foundation, and the American Bar Association, and previously for Google, AT&T, and Nissan. He is a serial entrepreneur who has co-founded more than a dozen companies including social enterprises such as the Harvard-ODI-MIT DataPop Alliance . He is a member of the U.S. National Academy of Engineering and leader within the World Economic Forum.
Over the years Sandy has advised more than 70 PhD students. Almost half are now tenured faculty at leading institutions, with another one-quarter leading industry research groups and a final quarter founders of their own companies. Together Sandy and his students have pioneered computational social science, organizational engineering, wearable computing (Google Glass), image understanding, and modern biometrics. His most recent books are Social Physics, published by Penguin Press, and Honest Signals, published by MIT Press.
Interesting experiences include dining with British Royalty and the President of India, staging fashion shows in Paris, Tokyo, and New York, and developing a method for counting beavers from space.