Daniel Armbrust
Co-founder & Board Director, Silicon Catalyst
Engaged with semiconductor and hardware technology startups in board and advisor roles to commercialize their innovations by obtaining funding and partnering with industry and government agencies. Leveraging over 35 years experience in semiconductor R&D and operations executive positions to assist early stage entrepreneurs. Consulting with the National Labs to develop public-private partnerships for next generation microelectronics and computing technologies.
David Autor
Professor, MIT Department of Economics
David Autor is Ford Professor in the MIT Department of Economics, co-director of the NBER Labor Studies Program, and co-leader of both the MIT Work of the Future Task Force and the JPAL Work of the Future experimental initiative. His scholarship explores the labor-market impacts of technological change and globalization on job polarization, skill demands, earnings levels and inequality, and electoral outcomes.
Gilbert Cette
Professor in Economics, NEOMA Business School
Gilbert Cette is a Full Professor at NEOMA Business School where he teaches Economic Policy. He studied and got his Ph.D. in Economics at the University of Paris 1. Before joining NEOMA BS, he was at the Banque de France and Associate Professor at the University of Aix-Marseille. On August 23, 2021 Mr. This was appointed as the Chair of the Expert Panel on the Minimum Growth Wage reporting to the ministry of economy, finance and recovery and ministry of labor, employment and professional integration.
He has chaired the AFSE (French Association of Economic Science). He currently co-chairs the Employment Seminar and chairs the Minimum Wage Expert Group. Among other positions, he is a member of the French Productivity National Council (CNP).His research and publications are mainly on the topics of growth, productivity, innovation, labor economics and structural reform. He has published in the American Economic Review, the Journal of the European Economic Association, the Review of Economics and Statistics, the European Economic Review, the Review of Income and Wealth, Economics letters, among others. He has also published several books, the most recent being on labor market structural reforms.
Adi Fuchs
Chief Core Architect, Speedata.io
Adi is a lead core architect at Speedata, a startup developing the next generation processing architecture for big data analytics platforms. He earned his Ph.D. in Electrical Engineering from Princeton University, and honorary M.Sc. and B.Sc. degrees in Electrical Engineering from Technion. Adi led multiple award-winning research projects that were published in top-tier architecture venues and in the global media. He has more than 10 years of hardware/software engineering experience at startups (SambaNova, Mellanox, Concertio, and Dune) and at corporations (Apple and Philips) and is a co-inventor of multiple US patents.
Sara Hooker
Head of Cohere For AI
I lead Cohere For AI, a non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research. Prior to Cohere, I was a research scientist Google Brain doing work on training models that go beyond test-set accuracy to fulfill multiple desired criteria — interpretable, compact, fair and robust. I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world.
Mark Horowitz
Professor of Electrical Engineering, Stanford University
Mark Horowitz initially focused on designing high-performance digital systems by combining work in computer-aided design tools, circuit design, and system architecture. During this time, he built a number of early RISC microprocessors, and contributed to the design of early distributed shared memory multiprocessors. In 1990, Dr. Horowitz took leave from Stanford to help start Rambus Inc., a company designing high-bandwidth memory interface technology. After returning in 1991, his research group pioneered many innovations in high-speed link design, and many of today’s high speed link designs are designed by his former students or colleagues from Rambus. In the 2000s he started a long collaboration with Prof. Levoy on computational photography, which included work that led to the Lytro camera, whose photographs could be refocused after they were captured. Dr. Horowitz’s current research interests are quite broad and span using EE and CS analysis methods to problems in neuro and molecular biology to creating new agile design methodologies for analog and digital VLSI circuits. He remains interested in learning new things, and building interdisciplinary teams.
Benjamin F. Jones
Gordon and Llura Gund Family Professor of Entrepreneurship, Northwestern University
Benjamin F. Jones is the Gordon and Llura Gund Family Professor of Entrepreneurship and a Professor of Strategy. An economist by training, Professor Jones studies the sources of economic growth in advanced economies, with an emphasis on innovation, entrepreneurship, and scientific progress. He also studies global economic development, including the roles of education, climate, and national leadership in explaining the wealth and poverty of nations. His research has appeared in journals such as Science, the Quarterly Journal of Economics and the American Economic Review, and has been profiled in media outlets such as the Wall Street Journal, the Economist, and The New Yorker.
A former Rhodes Scholar, Professor Jones served in 2010-2011 as the senior economist for macroeconomics for the White House Council of Economic Advisers and earlier served in the U.S. Department of the Treasury.
Professor Jones is a non-resident senior fellow of the Brookings Institution, a research associate of the National Bureau of Economic Research, where he co-directs the Innovation Policy Working Group, and a member of the Council on Foreign Relations.
Charles E. Leiserson
Professor of Computer Science and Engineering, MIT CSAIL
Charles E. Leiserson is Professor of Computer Science and Engineering at MIT. He holds the position of Edwin Sibley Webster Professor in MIT’s Department of Electrical Engineering and Computer Science (EECS). He was selected as a Margaret MacVicar Faculty Fellow, the highest recognition at MIT for undergraduate teaching. He is a member and former Associate Director and Chief Operating Officer of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), a member of the Lab’s Theory of Computation Group (TOC), and head of the Lab’s Supertech Research Group. Professor Leiserson is a member of the National Academy of Engineering and a Fellow of four professional societies: ACM, AAAS, SIAM, and IEEE.
Kristina McElheran
Assistant Professor, Strategic Management University of Toronto Scarborough (UTSC) & Rotman School of Management
Kristina’s research centres on the use of information technology and data by firms, with an emphasis on strategy, organizational design, and process innovation. Her current focus is on data-driven decision making and how firms and individuals can use data to improve their performance. She is also actively investigating the economic and strategic impacts of Cloud Computing. Kristina’s experience includes six years on faculty at the Harvard Business School. She is a Faculty Affiliate at UofT’s Schwartz Reisman Institute for Technology and Society; Digital Fellow at the Digital Economy Lab, Stanford Institute for Human-Centered AI; Visiting Researcher at Harvard Law School on AI, Robotics, and the Future of Work; Fellow at Boston University’s Technology and Policy Research Initiative; and Digital Fellow at MIT’s Initiative on the Digital Economy. She divides her time between Rotman and the University of Toronto, Scarborough, where she teaches strategic management. Prior to her academic career, Kristina worked for two early-stage technology ventures in Silicon Valley. She currently serves as a Lab Economist at the Creative Destruction Lab, one of Toronto’s premier seed-stage programs for technology startups.
Manish Parashar
Computer Scientist and Electrical Engineer, AAAS Fellow, ACM Fellow, IEEE Fellow
Manish’s academic career has focused on translational computer science with a specific emphasis on computational and data-enabled science and engineering, and has addressed key conceptual, technological and educational challenges. His research is in the broad area of high performance parallel and distributed computing and investigates conceptual models, programming abstractions, and implementation architectures that can enable new insights through very large-scale computations and big data in a range of domains critical to advancing our understanding of important natural, engineered and social systems. His contributions include innovations in data structures and algorithms, programming abstractions and systems, and systems for runtime management and optimization. Furthermore, the development and deployment of systems that encapsulate these research innovations and can be used by scientists and engineers in academia and industry, has been an integral part of his research. His research has had direct and significant impact on a range of domains (for example, subsurface/seismic modeling, plasma physics and fusion, hydrology, compressible turbulence and computational fluid dynamics, bio-/medical informatics, oceanography, numerical relativity/astrophysics, plasma physics, and business intelligence) as evidenced by my publications. He has collaborations with leading national and international research groups at universities, national laboratories, and industry.
Mark Rosker
Director of DARPA’s Microsystems Technology Office (MTO)
Dr. Mark Rosker became director of DARPA’s Microsystems Technology Office (MTO) in April 2019. Prior to this, he was deputy director of Defense Sciences Office (DSO) beginning in April 2018. Prior to his most recent DARPA appointment, Dr. Rosker was a principal engineering fellow at Raytheon Space and Airborne Systems (SAS) in Rosslyn, Virginia, working to anticipate and recognize emerging technical directions and program opportunities within the government science and technology (S&T) community. From 2003 to 2011, Dr. Rosker was a program manager in DARPA’s Microsystems Technology Office (MTO). As program manager, he developed a portfolio of technical programs in gallium nitride and other compound semiconductor radio frequency (RF) device technologies, heterogeneous circuit integration, terahertz electronics, and quantum cascade lasers. One of Dr. Rosker’s programs, the Wide Band Gap Semiconductors for Radio Frequency Applications (WBGS-RF) program, was selected in 2016 for the prestigious “DARPA Game-Changer Award.” In 2009, Dr. Rosker became the deputy director of MTO, and he ended his first tour as the acting office director.
Prior to 2003, Dr. Rosker worked in NASA’s Jet Propulsion Laboratory (JPL) in Pasadena, California, where he was a member of the submillimeter wave advanced technology group. Dr. Rosker was also at the Rockwell Scientific Co. (now Teledyne Scientific) in Thousand Oaks, California, from 1989 to 2003. His technical work there was in researching nonlinear optics, including photorefractive oscillators and visible and infrared frequency conversion materials and devices, time-domain spectroscopy of optical materials, and optical power limiters. He later led research groups within the materials science and the electronics divisions. From 1986 to 1989, he was a postdoctoral research fellow at Caltech, where he performed fundamental studies (cited in the 1999 Nobel Prize in Chemistry) observing the dynamics of unimolecular chemical reactions in real-time.
He received his Bachelor of Science in physics from the California Institute of Technology in 1981, and his Master of Science (1983) and doctorate (1987) in applied and engineering physics from Cornell University. In 2012, Dr. Rosker was selected as a Fellow of the IEEE for “his leadership in microwave and millimeter-wave phased arrays, gallium nitride semiconductors, and terahertz electronics.”
Rob Seamans
Director of the Center for the Future of Management | Associate Professor of Management and Organizations, Leonard N. Stern School of Business/New York University
Robert Seamans (PhD, UC Berkeley) is an Associate Professor at New York University’s Stern School of Business where he teaches courses in game theory and strategy. Professor Seamans’ research focuses on how firms use technology in their strategic interactions with each other, and also focuses on the economic consequences of AI, robotics and other advanced technologies. His research has been published in leading academic journals and been cited in numerous outlets including The Atlantic, Forbes, Harvard Business Review, The New York Times, The Wall Street Journal and others. In 2015, Professor Seamans was appointed as the Senior Economist for technology and innovation on President Obama’s Council of Economic Advisers.
John Shalf
Department Head for Computer Science, University of California
John Shalf is currently with the Department Head for Computer Science, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, and was formerly the Deputy Director of Hardware Technology for the DOE Exascale Computing Project and the Leader of the Green Flash Project. He is a coauthor of more than 90 publications in the field of parallel computing software and HPC technology and corecipient of three best paper awards. Before joining Lawrence Berkeley National Laboratory in 2000, he was with the National Center for Supercomputing Applications, University of Illinois, and was a Visiting Scientist with the Max-Planck-Institute for Gravitational Physics/Albert Einstein Institute, Potsdam, Germany.
Emma Strubell
Assistant Professor in the Language Technologies Institute, Carnegie Mellon University | Research Scientist at Google.
Emma Strubell is an Assistant Professor at the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University, and a part-time Research Scientist at Google AI. Previously she was a Visiting Researcher at Facebook AI Research after earning her doctoral degree in 2019 at the University of Massachusetts Amherst. Her research lies at the intersection of natural language processing and machine learning, with a focus on green (computationally efficient) AI and providing pragmatic solutions to practitioners who wish to gain insights from natural language text. Her work has been recognized with a Madrona AI Impact Award, best paper awards at ACL 2015 and EMNLP 2018, and cited in news outlets including the New York Times and Wall Street Journal.
Neil Thompson
Research Scientist, MIT CSAIL
Neil Thompson is the Director of the FutureTech research project at MIT’s Computer Science and Artificial Intelligence Lab and a Principal Investigator at MIT’s Initiative on the Digital Economy.
Previously, he was an Assistant Professor of Innovation and Strategy at the MIT Sloan School of Management, where he co-directed the Experimental Innovation Lab (X-Lab), and a Visiting Professor at the Laboratory for Innovation Science at Harvard. He has advised businesses and government on the future of Moore’s Law, has been on National Academies panels on transformational technologies and scientific reliability, and is part of the Council on Competitiveness’ National Commission on Innovation & Competitiveness Frontiers.
He has a PhD in Business and Public Policy from Berkeley, where he also did Masters degrees in Computer Science and Statistics. He also has a masters in Economics from the London School of Economics, and undergraduate degrees in Physics and International Development. Prior to academia, He worked at organizations such as Lawrence Livermore National Laboratory, Bain and Company, the United Nations, the World Bank, and the Canadian Parliament.
Katherine Yelick
Professor of Electrical Engineering and Computer Sciences, UC Berkeley
Katherine (Kathy) Yelick is the Robert S. Pepper Distinguished Professor of Electrical Engineering and Computer Sciences and the Vice Chancellor for Research at UC Berkeley. She is also a Senior Faculty Scientist at Lawrence Berkeley National Laboratory. Her research is in high performance computing, programming languages, compilers, parallel algorithms, and automatic performance tuning.
She currently leads the ExaBiome project on scalable tools for analyzing microbial data and co-leads the Berkeley Benchmarking and Optimization (Bebop) group. She was the Associate Dean for Research in the Division of Computing, Data Science and Society at UC Berkeley from 2020 through 2021; the Associate Laboratory Director for Computing Sciences at LBNL from 2010 through 2019; and prior to that she led the National Energy Research Scientific Computing Center (NERSC). Yelick is a member of National Academy of Engineering and the American Academy of Arts and Sciences, and she is a Fellow of both the Association for Computing Machinery and the American Association for the Advancement of Science.