Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Rice University scientists Kshitij Rai, Caleb Bashor and Ronan O’Connell have developed CLASSIC, a new AI-driven process that can generate and test millions of DNA designs at the same. Photo by Jeff Fitlow. Courtesy Rice University.

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”

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New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI.

In a study recently published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.

Vicky Yao and Qiliang Lai. Photo courtesy of Rice University

Rice University scientists invent new algorithm to fight Alzheimer's

A Seismic Breakthrough

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

To prove this link, researchers at Rice, alongside Boston University, developed a computational algorithm called “Single-cell Expression Integration System for Mapping Genetically Implicated Cell Types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

“As we age, some brain cells naturally slow down, but in dementia — a memory-loss disease — specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

“We built our SEISMIC algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

“We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

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This article originally appeared on CultureMap.com.

Rice University's new Bachelor of Science in AI will be one of only a few in the country. Photo via Getty Images.

Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

The new Rice Nexus is partnering with Google Public Sector and Non Sibi Ventures to support high-potential AI-focused startups. Image via Rice University.

Google teams up with Rice University to launch AI-focused accelerator

eyes on AI

Google Public Sector is teaming up with Rice University to drive early-stage artificial intelligence innovation and commercialization via the new Rice AI Venture Accelerator, or RAVA.

RAVA will use Google Cloud technology and work with venture capital firm Non Sibi Ventures to connect high-potential AI-focused startups with public and private sector organizations. The incubator will be led by Rice Nexus, which launched earlier this year in the Ion District as an AI-focused "innovation factory.”

“Google Public Sector is proud to partner with a leading institution like Rice University to launch the Rice AI Venture Accelerator,” Reymund Dumlao, director of state and local government and education at Google Public Sector, said in a news release. “By providing access to Google Cloud’s cutting-edge AI, secure cloud infrastructure and expertise, we’re enabling the next generation of AI pioneers to develop solutions that address critical challenges across industries and within the public sector. This unique partnership between education and industry will give participants access to cutting-edge research, leading technologists, specialized resources and a collaborative academic ecosystem, fostering an environment for rapid innovation and growth.”

Participants will have access to Google Public Sector’s AI leadership as well as experts from Rice’s Ken Kennedy Institute, which focuses on AI and computing research. It will be led by Sanjoy Paul, Rice Nexus’ inaugural executive director. Paul previously worked at Accenture LLC as a managing director of technology and is a lecturer in Rice's Department of Computer Science.

Rice Nexus will serve as the physical hub for RAVA, but the program will support AI startups from across the U.S., as part of Rice’s Momentous strategic plan, according to the university.

“This hub enables AI startups to go beyond building minimum viable products that meet industry privacy standards by utilizing the latest AI technologies from Google Cloud,” Paul said in the news release. “Our goal is to maximize the return on investment for our corporate partners, driving meaningful innovation that will have lasting impact on their industries.”

The 10,000-square-foot Rice Nexus space currently serves as home base for several startups with ties to Rice, including Solidec, BeOne Sports and others. Read more about the new incubation space here.

OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models to support storm response decision makers, has secured an NSF grant. Photo by Eric Turnquist

Houston-area researchers score $1.5M grant to develop storm response tech platform

fresh funding

Researchers from Rice University have secured a $1.5 million grant from the National Science Foundation to continue their work on improving safety and resiliency of coastal communities plagued by flooding and hazardous weather.

The Rice team of engineers and collaborators includes Jamie Padgett, Ben Hu, and Avantika Gori along with David Retchless at Texas A&M University at Galveston. The researchers are working in collaboration with the Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center and the Ken Kennedy Institute at Rice and A&M-Galveston’s Institute for a Disaster Resilient Texas.

Together, the team is developing and hopes to deploy “Open-Source Situational Awareness Framework for Equitable Multi-Hazard Impact Sensing using Responsible AI,” or OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models "to provide timely, reliable and equitable insights to emergency response organizations and communities before, during and after tropical cyclones and coastal storm events," reads a news release from Rice.

“Our goal with this project is to enable communities to better prepare for and navigate severe weather by providing better estimates of what is actually happening or might happen within the next hours or days,” Padgett, Rice’s Stanley C. Moore Professor in Engineering and chair of the Department of Civil and Environmental Engineering, says in the release. “OpenSafe.AI will take into account multiple hazards such as high-speed winds, storm surge and compound flooding and forecast their potential impact on the built environment such as transportation infrastructure performance or hazardous material spills triggered by severe storms.”

OpenSafe.AI platform will be developed to support decision makers before, during, and after a storm.

“By combining cutting-edge AI with a deep understanding of the needs of emergency responders, we aim to provide accurate, real-time information that will enable better decision-making in the face of disasters,” adds Hu, associate professor of computer science at Rice.

In the long term, OpenSafe.AI hopes to explore how the system can be applied to and scaled in other regions in need of equitable resilience to climate-driven hazards.

“Our goal is not only to develop a powerful tool for emergency response agencies along the coast but to ensure that all communities ⎯ especially the ones most vulnerable to storm-induced damage ⎯ can rely on this technology to better respond to and recover from the devastating effects of coastal storms,” adds Gori, assistant professor of civil and environmental engineering at Rice.

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This article originally ran on EnergyCapital.

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Houston leads U.S. in population growth for 2025, Census says

Boomtown

Imagine that the Houston metro area swallowed a city the size of Pearland in just one year. That’s essentially what happened from 2024 to 2025, with the Houston metro ranking first in the U.S. for population growth based on the number of people.

New estimates from the U.S. Census Bureau show the 10-county Houston metro added 126,720 residents from July 1, 2024, to July 1, 2025. That’s just shy of Pearland’s roughly 133,000-resident tally.

To calculate population, the Census Bureau counts births, deaths, new residents, and moved-away residents.

Region’s population approaches 8 million

On July 1, 2025, the Houston metro’s population hovered slightly above 7.9 million, up 1.6 percent from the same time in 2024. In the very near future, the region’s population should break the eight million mark.

This follows massive growth in the past 20 years. From 2005 to 2025, the region’s population soared by 39 percent. By comparison, the growth rate from 2021 to 2025 sat at nine percent.

A forecast from the Texas Demographics Center indicates that under a middle-of-the-road scenario, the Houston metro’s population will reach nearly 8.5 million in mid-2030 and more than 9.5 million in mid-2040.

Dan Potter, director of Rice University’s Houston Population Research Center, attributes much of the region’s population surge to people moving to the area from outside the U.S. In Harris County, this means a combination of military personnel returning home, people living or working overseas coming back to the U.S., and immigrants relocating to the U.S., he tells CultureMap.

But Harris County fell short from 2024 to 2025 when it comes to people moving here from elsewhere in the U.S., according to Potter. Counties surrounding Harris County benefited from that trend, drawing new residents who preferred to settle in the suburbs.

“The incredible pull and attraction of the Houston area is its economy, its people, and its affordability, and the significant growth that was observed in 2024 and again in 2025 speaks to the magnetism of the region,” Potter says. “That pull to Houston is too strong to be turned off overnight.”

Cooling economy and immigration shifts slow down growth

Whether looking at urban or suburban places, population growth in the Houston area slowed in 2025 and appears to be slowing even more this year, Potter says.

“A cooling economy and changes to immigration policy are a one-two combination that could knock out the region’s population growth,” says Potter, citing the region’s addition of a less-than-expected 14,800 jobs in 2025 as an example.

Weaker population growth may not be felt evenly across the metro area, according to Potter.

A continuing influx of people from Houston to outlying counties such as Brazoria, Fort Bend, Liberty, Montgomery, and Waller could curb growth in Harris County, Potter said. Why? If the number of people arriving from other other countries flattens or even drops, then there could be “doughnut-style population growth for the next few years, where Harris County and Houston see declines while the suburban counties see an increase.”

Harris County represents 40 percent of region’s population lift

Houston-anchored Harris County accounted for almost 40 percent of the region’s population spike from 2024 to 2025. In one year, Harris County grew by 48,695 residents, or 1 percent, pushing its population past five million. That increase put Harris County in first place for numeric growth (rather than percentage growth) among all U.S. counties.

From 2020 to 2025, Harris County’s growth rate was 6.6 percent. It remains the country’s third largest county based on population, behind Southern California’s Los Angeles County and Illinois’ Chicago-anchored Cook County.

Harris County is on track to surpass Cook County in size in the near future. As of July 1, 2025, a nearly 150,000-resident gap separated population-losing Cook County and fast-growing Harris County.

The Texas Demographics Center predicts Harris County’s population will be 5.37 million in mid-2030 and just short of six million in mid-2040.

Suburban counties see significant population gains

Harris County isn’t the only county in the area that experienced a growth spurt from 2024 to 2025:

  • Waller County’s population climbed 5.69 percent, winding up at 69,858. Its growth rate ranked second among U.S. counties.
  • Liberty County’s population rose 4.4 percent to 121,364, putting its growth rate in eighth place among U.S. counties.
  • Montgomery County gained 30,011 residents, with its population landing at 781,194. That placed it at No. 4 among U.S. counties for numeric growth.
  • Fort Bend County picked up 24,163 residents, arriving at a total of 975,191 and positioning it at No. 8 among U.S. counties for numeric growth. Fort Bend County, the region’s second largest county based on population, is projected to break the one million-resident mark by July 2030, according to the Texas Demographics Center.

“Lower mortgage rates from 2009 to 2022 and the rise of remote work have made suburban housing more attractive, especially for families seeking affordability,” Pramod Sambidi, the Houston-Galveston Area Council’s assistant director of data analytics and research, said last year. “Additionally, suburban areas are seeing more multifamily developments than before the pandemic.”

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This article originally appeared on CultureMap.com.

5 Houston-area companies named among world's most innovative for 2026

In The Spotlight

Led by Conroe-based Hertha Metals, five organizations in the Houston area earned praise on Fast Company’s list of the World’s Most Innovative Companies of 2026.

Hertha Metals ranked No. 1 in the manufacturing category.

Last year, Hertha unveiled a single-step process for steelmaking that it says is cheaper, more energy-efficient and just as scalable as traditional steel manufacturing. It started testing the process in 2024 at a one-metric-ton-per-day pilot plant.

At the same time, Hertha announced more than $17 million in venture capital funding from investors such as Breakthrough Energy, Clean Energy Ventures, Khosla Ventures, and Pear VC.

“We’re not just reinventing steelmaking; we’re redefining what’s possible in materials, manufacturing, and national resilience,” Laureen Meroueh, founder and CEO of Hertha, said at the time.

Meroueh was also recently named to Inc. Magazine's 2026 Female Founders 500 list.

Hertha, founded in 2022, says traditional steelmaking relies on an outdated, coal-based multistep process that is costly, and contributes up to 9 percent of industrial energy use and 10 percent of global carbon emissions.

By contrast, Hertha’s method converts low-grade iron ore into molten steel or high-purity iron in one step. The company says its process is 30 percent more energy-efficient than traditional steelmaking and costs less than producing steel in China.

Last year, Hertha said it planned to break ground in 2026 on a plant capable of producing more than 9,000 metric tons of steel per year. In its next phase, the company plans to operate at 500,000 metric tons of steel production per year.

Here are Fast Company’s rankings for the four other Houston-area organizations:

  • Houston-based Vaulted Deep, No. 3 in catchall “other” category.
  • XGS Energy, No. 7 in the energy category. XGS’ proprietary solid-state geothermal system uses thermally conductive materials to deliver affordable energy anywhere hot rock is located. While Fast Company lists Houston as XGS’ headquarters, and the company has a major presence in the city, XGS is based in Palo Alto, California.
  • Houston-based residential real estate brokerage Epique Realty, No. 10 in the business services category. Epique, which bills itself as the industry’s first AI brokerage, provides a free AI toolkit for real estate agents to enhance marketing, streamline content creation, and improve engagement with clients and prospects.
  • Texas A&M University’s Nanostructured Materials Lab in College Station. The lab studies nano-structured materials to make materials lighter for the aerospace industry, improve energy storage, and enable the creation of “smart” textiles.
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This article first appeared on our sister site, EnergyCapitalHTX.com.

UH lands $11.8M for first-of-its-kind early language development study

speech funding

Researchers at the University of Houston have secured an $11.8 million grant from the National Institutes of Health to conduct a first-of-its-kind study of early language development.

Led by Elena Grigorenko, the Hugh Roy and Lillie Cranz Cullen Distinguished Professor of Psychology, and research professor Jack Fletcher, the study will follow 3,600 children aged 18 to 24 months to uncover how language skills develop at this critical stage and why some children experience delays that can influence later growth.

The NIH funding will also support the development of the new national Clinical Research Center on Developmental Language Disorders at UH, which aims to bring experts from psychology, education, health and measurement sciences to study how children learn language.

“This will be the first national study to estimate how common late talking is using a large, representative sample of Houston toddlers,” Grigorenko said in a news release. “By following these children as they grow, we hope to better understand the developmental pathways that can lead to conditions such as developmental language disorder and autism.”

UH’s team will partner with the pediatric clinic network at Texas Children’s Hospital, where children will be screened for early language development, allowing researchers to identify those who show signs of delayed speech. Next, researchers will follow the cohort through early childhood to examine how language abilities evolve and how early delays may lead to later challenges.

The Clinical Research Center on Developmental Language Disorders will be the 14th national research center established at UH, and will include researchers from multiple UH departments, as well as partners at Baylor College of Medicine and the Texas Center for Learning Disorders.

“This level of investment from the National Institutes of Health reflects the significance of this work to address a complex challenge affecting children, families and communities,” Claudia Neuhauser, vice president for research at UH, said in a news release. “By bringing together experts from multiple disciplines and partnering with major health systems across the region, the project reflects our commitment to advancing discoveries that impact our community.”

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