Frontiers of Innovation
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Engage with MIT’s innovation ecosystem at the 2026 MIT Japan Conference, exploring the next frontiers in science, technology, and business transformation.
This year’s program features Professors Mark Bathe, Bryan Moser, Juejun Hu, Steven Spear, Kevin Chen, Alex Shalek, Faez Ahmed, and Ezra Zuckerman, highlighting breakthroughs in:
Ten MIT-connected deeptech startups will deliver lightning pitches showcasing cutting-edge innovations across AI systems, biotechnology, advanced manufacturing, sustainable chemistry, autonomous vehicles, and smart infrastructure.
Attendees will have the opportunity to engage directly with MIT faculty and MIT-connected startups through interactive sessions, a networking lunch, and an evening reception.
Building on more than two decades of MIT Japan Conferences, the 2026 event will spotlight emerging technologies shaping the next decade and strengthen collaboration among MIT, MIT-connected startups, and Japan’s industry leaders.
Senior Lecturer, MIT Sloan School of Management Senior Fellow, Institute for Healthcare Improvement Principal, See to Solve LLC
Dr. Steve Spear, DBA, MS, MS, is a Senior Lecturer at MIT’s Sloan School of Management and founder of the business process software firm See to Solve. Earlier in his career, he was a Research Associate at the University of Tokyo in the Yoshikawa–Tomiyama Laboratory and a Summer Intern at the Long-Term Credit Bank of Japan. His work is at the intersection of innovation and operations with systems thinking and organizational learning, showing how organizations wire themselves for high-velocity learning and exceptional performance.
Spear’s books—Wiring the Winning Organization and The High-Velocity Edge—and his article “Decoding the DNA of the Toyota Production System” have received wide praise. The ideas in them have guided successful transformations across industries, including healthcare, biotechnology, engineering-intensive high tech, and defense.
His degrees are from Harvard (doctorate), MIT (master’s both in mechanical engineering and management), and Princeton (economics).
As early as the 1970s and early 1980s, Japanese firms revealed a striking competitive paradox. Their best wasn’t succeeding by making “the right tradeoffs” among quality, cost, features, and speed. Instead, they were delivering products of higher quality, with more variety, at lower cost, and at faster speed—while appearing to exert less effort. It was as if they were playing an entirely different game.
Close study revealed “the secret.” While much of the industrial world focused on optimizing the flow of materials through machines with fancy math, with people as an afterthought, the best created conditions in which people could solve hard problems, develop outstanding solutions, and deliver exceptional value to society. Everyone else was competing on brawn power; they were winning on brain power.
Amidst today’s turbulence—political realignments, economic disruptions, and rapid technological change—this approach to sustaining competitive advantage—seeing and solving problems better and faster than anyone else—is even more vital.
This talk explores how the best do this, by making problem solving easier to do, problems easier to solve, and problems easier to see earlier and more often, before they grow big. Examples will include both historical lessons from the pioneers and contemporary applications of these same principles.
Professor, MIT Department of Biological Engineering Professor, MIT Department of Mechanical Engineering
Mark Bathe is a Professor in the Department of Biological Engineering at MIT, a Member of the Harvard Medical School Initiative for RNA Medicine, and an Associate Member of the Broad Institute of MIT & Harvard. He obtained his Doctoral Degree at MIT, working in the Departments of Biological, Chemical, and Mechanical Engineering before moving to the University of Munich for his postdoctoral research. He returned to MIT in 2009 to join the faculty in the Department of Biological Engineering, where he runs an interdisciplinary research group focused on engineering nucleic acids for the targeted delivery of therapeutics and vaccines, phenotypic profiling of neuronal circuits, and quantum information science and technology. He is an academic co-founder of Cache DNA and Kano Therapeutics, and in his free time, he enjoys running, biking, and swimming, amongst other outdoor activities.
Nucleic acids are conventionally known as molecular carriers of genetic information, the blueprint for life. Alternatively, nucleic acids can be used to fabricate complex 2D and 3D molecular assemblies with unprecedented nanometer-scale precision that replicates, and goes beyond, highly evolved naturally biological assemblies. In this talk, I will illustrate how we have used DNA-based virus-like particles (DVLPs) to elicit a potent immunological response that surpasses a clinical protein-based equivalent VLP due to the inert, immunologically silent nature of DNA. I will discuss how this next-generation DVLP platform opens up numerous possibilities in active immunotherapies for challenging infectious diseases as well as central nervous system disorders. Next, I will demonstrate how programmable DNA sequences can be used to encode complex “wet” databases of information, akin to a Google Books search engine for molecules. I will apply this database system to storing human and viral genomes at room temperature, bypassing the need for cold-chain logistics that currently limit global genomics to a very small fraction of the globe and global population. Finally, I will illustrate how lithographic semiconductor patterning can be used to interface organics with inorganics by using DNA to pattern single quantum emitters with nanometer-scale precision on chip-scale silicon wafers for quantum applications. I will highlight translational stories from these areas as our inventions at MIT transform into industrial innovations through start-ups cofounded by Bathe and lab members to impact the US and global economies.
John F. Elliott Professor of Materials Science and Engineering, MIT
Prof. Juejun (JJ) Hu is the John F. Elliott Professor of Materials Science and Engineering at MIT. He received his B.S. in Materials Science and Engineering from Tsinghua University in 2004 and his Ph.D. from MIT in 2009. Before returning to MIT, he served as an Assistant Professor at the University of Delaware from 2010 to 2014. Prof. Hu’s research centers on integrated optics and photonics, with contributions spanning spectroscopy, imaging, and optical materials. His work has been recognized with honors, including the SPIE Early Career Achievement Award, the Robert L. Coble Award from the American Ceramic Society, the Vittorio Gottardi Prize from the International Commission on Glass, the NSF CAREER Award, and the DARPA Young Faculty Award. He is a Fellow of international society for optics and photonics (SPIE), Optica, and the American Ceramic Society, and is the cofounder of three startups translating emerging photonics technologies from his laboratory into practice.
Infrared photons, though invisible to the human eye, are rapidly moving to the forefront of technology, enabling breakthroughs in how we sense, measure, and see the world. In my group, we are developing chip-scale photonic technologies that render the invisible visible, turning tiny chips into powerful tools for sensing and imaging.
On the sensing front, we are creating low-cost, high-performance photonic chips that harness a wide range of optical signatures in the infrared, including Raman scattering, absorption, and refractive index perturbations. These platforms bring laboratory-grade spectroscopy into compact and robust form factors, enabling real-time detection of trace chemicals across diverse industries. Several of these technologies have already moved beyond the laboratory: InSpek is advancing process control in pharmaceutical and agri-food sectors, Lightfinder Inc. is enabling continuous monitoring in energy and chemical industries, and other platforms are addressing urgent challenges such as the detection of heavy metal contamination in water.
In parallel, we are reshaping imaging optics at the chip scale. By transforming chips into flat optical elements, we can achieve performance once thought impossible with conventional lenses. A salient example is our flat fisheye lens, now commercialized by 2Pi Inc., which provides panoramic imaging in a wafer-thin form factor. Building on this foundation, we are extending the concept further, creating optical components that conform seamlessly to curved surfaces and developing active elements that reconfigure their functions on demand through tunable materials.
Together, these advances chart a vision where invisible photons become an accessible and ubiquitous resource. From real-time chemical monitoring to adaptive infrared imaging, chip-scale photonics offers a new sensory frontier — one that blends fundamental science with tangible societal impact.
Alvin J. Siteman (1948) Professor of Entrepreneurship and Strategy, MIT
Ezra Zuckerman Sivan is the Alvin J. Siteman (1948) Professor of Strategy and Entrepreneurship. He is also cofounder of MIT Sloan's PhD Program in Economic Sociology.
Zuckerman Sivan is an economic sociologist whose research focuses on showing how an understanding of fundamental social processes is important for shedding light on key issues in business and management, as well as how an appreciation for the dynamics of business and management inform our understanding of fundamental social processes. He is perhaps best known for demonstrating the importance of categorical structures in shaping valuation in various markets.
Zuckerman Sivan's master's and executive level teaching centers on competitive and technology strategy, and he teaches two doctoral courses, "Sociology of Strategy" and "Identity and Action."
He holds a BA in political science from Columbia University as well as an MA and a PhD in sociology from the University of Chicago.
This presentation distills lessons from my book manuscript The First Week, which is to be completed in the next 12 months. The book focuses on a very unusual innovation: the seven-day week. The week isn't usually thought of as akin to a market or technology platform, but it-- like the calendar-- is indeed a temporal platform-- a way of organizing time that allows and encourages dedicated "applications" (i.e., activities and routines) to be "written" (i.e., scheduled) on it. Also, while we don't usually think of the week as an innovation, it in fact has the hallmarks of an especially difficult innovation: It was invented just once and spread in a way that is distinctive of innovations that must be experienced by a critical mass in society before they are adopted. Thus, even though week-observing communities arrived in China starting in the 8th century, it was only in the mid-19th century (beginning with the treaty ports in Japan) that the week began to be adopted in East Asia. Some of the lessons relevant to managers who want their innovations to get widely adopted are as follows: a) How important it is that early adopters be mobile, in that they take the innovation to new contexts where it might get more traction; b) How important it is that the minority of early-adopters be highly committed so as to reach a critical mass; c) How it can sometimes be unimportant that the innovation solves critical problems for the majority, just as long as it is sufficiently beneficial to adjust to the minority; d) How quickly an innovation that was long uninteresting can come to be taken for granted and naturalized; and e) The importance of platform thinking in non-technological domains.
Associate Professor, MIT Department of Mechanical Engineering
Prof. Faez Ahmed is an Associate Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He leads the Design Computation and Digital Engineering (DeCoDE) lab, with a research focus on Artificial Intelligence for engineering design. His recent work addresses the Generative AI-based synthesis of high-performance and novel designs, multi-modal representations, and the collaborative potential between human designers and machines. Prior to his appointment at MIT, Prof. Ahmed was a postdoctoral fellow at Northwestern University and earned his Ph.D. in Mechanical Engineering from the University of Maryland. He also has industrial experience in Australia's railway and mining sectors. Prof. Ahmed has received the NSF Career, ASME Design Automation Young Investigator Award, ASME DTM Young Investigator Award, the Google Research Scholar Award, and he has held the Doherty, d'Arbeloff, and ABS Career Development Chairs at MIT. Currently, he serves as an Associate Editor for Computer Aided Design and Design Science journals.
Generative AI is reshaping many industries by offering innovative approaches to creating content. While LLM and VLM tools like ChatGPT have proven effective in multimedia, their application in engineering faces unique challenges, such as maintaining precision under varying requirements. This talk will explore some of these challenges, with an emphasis on achieving designs that are innovative, feasible, and achieve high functional performance. We will examine case studies across various engineering disciplines, such as kinematic design and topology optimization. Furthermore, we will explore how precision-focused generative AI can transcend mere mimicking of statistical patterns to address performance, constraints, and innovation in engineering. The talk will show examples of AI-driven design co-pilots for engineering tasks, along with covering methods that effectively combine multimodal generative models with engineering optimization and tools, highlighting how this fusion augments the design process. The presentation will conclude by highlighting the broader impact of generative AI in facilitating design democratization and fostering rapid innovation across the engineering sector.
Associate Professor, MIT Department of Electrical Engineering and Computer Science
Kevin Chen is an associate professor at the Department of Electrical Engineering and Computer Science, MIT, USA. He received his PhD in Engineering Sciences at Harvard University in 2017 and his bachelor’s degree in Applied and Engineering Physics from Cornell University in 2012. His research interests include high-bandwidth soft actuators, microrobotics, and aerial robotics. He is a recipient of the Toshio Fukuda Young Professional Award, the Steven Vogel Young Investigator Award, the NSF CAREER Award, the Office of Naval Research Young Investigator Award, multiple best paper awards (TRO 21, RAL 20, IROS 15), and the Ruth and Joel Spira Teaching Excellence Award.
Flapping-wing flight at the insect scale is incredibly challenging. Insect muscles not only power flight but also absorb in-flight collisional impact, making these tiny flyers simultaneously agile and robust. In contrast, existing aerial robots have not demonstrated these properties. Rigid robots are fragile against collisions, while soft-driven systems suffer from limited speed, precision, and controllability. In this talk, I will describe our effort in developing a new class of bio-inspired micro-flyers, ones that are powered by high bandwidth soft actuators and equipped with rigid appendages. We constructed the first heavier-than-air aerial robot powered by soft artificial muscles, which can demonstrate a 1000-second hovering flight. In addition, our robot can recover from in-flight collisions and perform somersaults within 0.10 seconds. This work demonstrates for the first time that soft aerial robots can achieve agile and robust flight capabilities absent in rigid-powered micro-aerial vehicles, thus showing the potential of a new class of hybrid soft-rigid robots. I will also discuss our recent progress in incorporating onboard sensors, electronics, and batteries.
Co-founder and CEO, Foundation EGI
Co-founder and CTO, LineLab
Scott Nill is the CTO and co-founder of LineLab. He has more than a decade of experience in advanced manufacturing and production system development. His work spanning aerospace, biopharma and biomanufacturing, green technologies, and consumer products, among other verticals, seeks to bridge engineering, operations, and finance to scale innovative products. He holds a Master’s and Ph.D. in Mechanical Engineering and Operations from MIT.
Co-founder and COO, Black Mesa
Co-founder and CEO, Advanced Silicon Group
Marcie Black’s passion is in solving important problems in the world including equitable health care, energy and the environment, and energy security. She is the CEO at Advanced Silicon Group (ASG). ASG is commercializing a silicon photoelectric sensor (Light Sense) which will lower the barriers of protein sensing so that everyone has access to good health care. Prior to founding ASG, Marcie was the President and co-founder of Bandgap Engineering, which focused on lowering the cost of solar electricity through black silicon solar cells. Marcie also was a technical staff member at Los Alamos National Laboratory (LANL) working on a variety of nanotechnology and optical systems. She began at LANL as a prestigious Director’s Funded Post Doc, developing organic and nano solar cells. Marcie has a Ph.D. from MIT in Electrical Engineering, under the supervision of Institute Professor, Mildred Dresselhaus. Prior to her Ph.D. work, Marcie was a device engineer at Motorola. In 2009, she was awarded an R&D 100 award for her contributions to work at LANL. Marcie also was honored as one of the ten “Women-to-Watch in 2010” by Mass High Tech. Marcie has over 30+ papers and more than 20 issued patents with many more pending.
Co-Founder and CEO, AtoMe
Founder and CEO, Bay Compute
Co-founder and CEO, Addis Energy
Co-founder and CEO, AdaViv
Ian Seiferling (PhD, MSc.) is the CEO of AdaViv. With a background in biology and environmental science, Ian has worked extensively in domains such as plant science, urban agriculture, and climate adaptation. He has developed widely-used computer vision-based tools to measure and monitor the health of urban trees, and has led research on the spatially-explicit modeling of urban agriculture potential to feed urban populations. Ian's entrepreneurial and technological expertise enables him to bridge plant science, sensing, image processing, and data science in order to creatively put into practice cutting-edge methods that better understand crop plants. His research has been published in numerous high-impact academic journals, including Ecology, Conservation Ecology, and Nature Sustainability, and has been featured in media outlets such as The Wall Street Journal, Forbes, and The Guardian. Originally from the prairie grain belt provinces of Canada, Ian is passionate about using his skills to make a meaningful impact on the world.
Founder and CEO, Chronos AI
Marco Ganouna is the Founder & CEO of Chronos AI, a defense-tech company pioneering decentralized 3D location and communication networks that operate without GPS, cell towers, or the internet. With a track record of anticipating future market needs and building breakthrough technologies, Marco leads Chronos AI’s mission to redefine positioning, navigation, and communication for defense, public safety, and smart infrastructure worldwide.
Co-founder and CEO, Artificio