UW researchers lead and support new ‘AI-for-Science’ Genesis Mission awards
Our take
The University of Washington’s leadership in the DOE’s Genesis Mission is a big deal, and it’s worth pausing to appreciate the scope of what’s happening here. This isn't just about a few grants; it's about fundamentally reshaping how scientific discovery happens. The initiative’s focus on building an "AI-for-science ecosystem" signals a shift away from AI as a tool *applied* to existing research, and towards AI as a core collaborator, actively driving the research process itself. We've seen glimpses of this potential already – the University’s own researchers are exploring fascinating areas, and as highlighted in August research highlights: Nectar robbing, anxious attachment styles, persnickety plasma, more, their work consistently pushes boundaries. The Genesis Mission, with its significant investment, promises to accelerate these kinds of breakthroughs across fields. The timing is particularly relevant given ongoing discussions regarding institutional policy; as outlined in New timeline for Student Conduct Code revisions, navigating evolving landscapes—whether in student conduct or scientific methodology—requires proactive adaptation, and UW is clearly demonstrating that adaptability here.
The implications for energy, discovery science, and national security are profound. Traditional scientific progress often relies on painstaking experimentation and data analysis, processes that can be incredibly time-consuming and resource-intensive. AI, particularly with advances in machine learning and generative models, offers the potential to dramatically accelerate these processes. Imagine AI algorithms capable of designing experiments, analyzing vast datasets to identify patterns humans might miss, and even formulating new hypotheses. This isn't about replacing scientists; it's about augmenting their capabilities, freeing them to focus on the higher-level creative thinking and interpretation that AI currently struggles with. The potential for faster breakthroughs in areas like renewable energy sources or new materials science is enormous. The fact that UW is leading this effort underscores its growing reputation as a hub for both cutting-edge research and AI innovation—a position that strengthens the entire Pacific Northwest tech ecosystem. It’s also important to note the competitive landscape; while UW is at the forefront, other institutions are also investing heavily in AI-for-science initiatives, meaning continuous advancement and adaptation will be key.
Beyond the immediate scientific benefits, the Genesis Mission also has broader societal implications. The development of robust AI-for-science tools will likely spur innovation across other sectors, creating new opportunities and challenges. Concerns about algorithmic bias and the responsible use of AI will need to be addressed proactively, ensuring that these powerful tools are used ethically and equitably. Furthermore, the skills needed to thrive in this new AI-driven research landscape will evolve, requiring investments in education and training to prepare the next generation of scientists and engineers. The University's recent success, even in seemingly unrelated fields like understanding the behaviors of Hawaiian honeycreepers—as detailed in Where Washington Huskies rank in this week’s AP poll – demonstrates a commitment to broad intellectual exploration that will serve it well in this rapidly changing environment.
Looking ahead, a crucial question will be how effectively these AI-for-science tools are integrated into existing research workflows. Will they be adopted widely by scientists across disciplines, or will they remain confined to specialized labs? The success of the Genesis Mission will depend not only on the technical capabilities of the AI tools but also on their usability and accessibility. It will also be interesting to see how the project fosters collaboration between researchers in different fields, as the most significant breakthroughs often occur at the intersection of disciplines. The coming years promise to be a transformative period for scientific research, and UW’s leadership in the Genesis Mission positions it to play a central role in shaping that future.
University of Washington researchers are leading and collaborating on four research projects as part of Phase 1 in the U.S. Department of Energy (DOE) Genesis Mission, a national initiative to build an AI-for-science ecosystem which accelerates breakthroughs in energy, discovery science and national security.
The DOE awarded a total of 278 Genesis Mission awards for projects that involve more than 300 participating institutions, including DOE and National Nuclear Security Administration national laboratories, universities and companies. As part of the Genesis Mission, awardees will have access to the Genesis Mission Platform, which includes AI frameworks, advanced AI models from industry partners, and high-performance computing resources across DOE’s National Laboratories and partner facilities.
“The Genesis Mission represents the kind of bold, collaborative approach needed to accelerate the complex scientific and technological breakthroughs required in our rapidly changing world,” said UW Vice Provost for Research Mari Ostendorf. “Its emphasis on bringing together diverse expertise and cutting-edge technology with strategic partnerships highlights the important role universities play in driving innovation for the nation.”
The UW-supported Genesis projects span disciplines including advanced sensing technologies, protein design for microelectronic applications, and astronomy data infrastructure, demonstrating the broad potential of AI to accelerate scientific discovery.
Hossein Naghavi, assistant professor of electrical and computer engineering, received a Genesis award to develop neuromorphic terahertz imaging technology for next-generation augmented reality systems.
“Neuromorphic terahertz imagers, or brain-inspired imaging in the terahertz band, give us superhuman vision to see through optically obscured media in real time by combining sensing and computation in a single piece of hardware. The Genesis Mission award supports our research in developing the hardware for the neuromorphic terahertz imager, as well as creating a digital twin of the entire system to train imaging models before implementing them on the actual hardware. This is an important step for future terahertz imaging systems on augmented reality hardware,” Naghavi said.
Building on research conducted in UW’s Terahertz Integrated MicroElectronics (TIME) Lab, the project brings together collaborators at Texas A&M University, the University of Utah, ChipNexus and NVIDIA to integrate sensing and computation directly within imaging hardware. By reducing the amount of data that must be transferred between sensors and processors, the technology could enable lightweight, low-cost augmented reality headsets capable of seeing through visually obscured materials in real time while operating with far lower power consumption than conventional systems.
David Baker, director of the Institute for Protein Design (IPD), and his colleagues are contributing to two Phase I Genesis Mission projects that apply advances in protein design and artificial intelligence to challenges beyond traditional biomedical applications.
One project, BIND (Biophysics-Informed Learning of Coordination for Metalloprotein Design), led by the Lawrence Livermore National Laboratory, seeks to develop an AI framework for designing selective metal-binding proteins. The project leverages quantum chemistry, structural biology, machine learning and high-throughput experimentation to advance the computational design strategies of next-generation rare earth element binders. These advancements will catalyze change in critical mineral recovery, radionuclide management and environmental monitoring, while advancing DOE priorities in predictive biosystems design.
The second project, led by Pacific Northwest National Laboratory, will develop an AI-guided loop for the design, fabrication and evaluation of microelectronic devices. The team will leverage proteins designed to assemble on van der Waals substrates to modulate their properties and organize charge carriers within the synthesized hybrid materials, integrating deep-learning protein models with AI-guided material synthesis and characterization, device fabrication and measurements, and circuit-level performance evaluation to create an iterative design process that improves molecules, materials, and device design.
Both IPD projects demonstrate how UW-developed protein design technologies are expanding into new areas of chemistry, materials science, and advanced manufacturing. “The Genesis Mission award provides necessary support to develop data that will vastly improve our models, an essential next step in delivering advances for key global challenges,” Baker said.
Andy Connolly, director of the eScience Institute and founding director of the DiRAC Institute, and Neven Caplar, a researcher at DiRAC, are partnering with researchers at Carnegie Mellon University to help develop infrastructure that will make it easier for astronomers to combine and analyze data from a wide range of observatories and scientific instruments.
Their project will expand data formats and analysis platforms to support images, spectra, data cubes and other forms of astronomical data while enabling seamless access to information distributed across cloud and high-performance computing systems. The goal is to remove technical barriers that often slow scientific discovery and make large, multimodal datasets more accessible for AI research.
“We want the plumbing to be boring so the astronomy can be spectacular,” Caplar said.
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