Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

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

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.

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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.

Angela Wilkins joins the Houston Innovators Podcast to discuss the intersection of data and health care. Photo courtesy

Houston data scientist joins medical device startup amid AI evolution in the sector

HOUSTON INNOVATORS PODCAST EPISODE 241

When most people hear about Houston startup Starling Medical, they might think about how much potential the medical device company has in the field of urinalysis diagnostics. But that's not quite where Angela Wilkins's head went.

Wilkins explains on the Houston Innovators Podcast that when she met the company's co-founders, Hannah McKenney and Drew Hendricks, she recognized them as very promising startup leaders taking action on a real health care problem. Starling's device can collect urine and run diagnostics right from a patient's toilet.

"It was one of those things where I just thought, 'They're going to get a bunch of data soon,'" Wilkins says. "The opportunity is just there, and I was really excited to come on and build their AI platform and the way they are going to look at data."

For about a year, Wilkins supported the startup as an adviser. Now, she's working more hands on as chief data officer as the company grows.



Wilkins, who serves as a mentor and adviser for several startups, has a 20-year career in Houston across all sides of the innovation equation, working first at Baylor College of Medicine before co-founding Mercury Data Science — now OmniScience. Most recently she served as executive director of the Ken Kennedy Institute at Rice University.

This variety in her resume makes her super connective — a benefit to all the startups she works with, she explains. The decision to transition to a startup team means she gets to work hands on in building a technology — while bringing in her experience from other institutions.

"I think I've really learned how to partner with those institutions," she says on the show. "I've really learned how to make those bridges, and that's a big challenge that startups face."

"When we talk about the Houston innovation ecosystem, it's something we should be doing better at because we have so many startups and so many places that would like to use better technology to solve problems," she continues.

Wilkins has data and artificial intelligence on the mind in everything she does, and she even serves on a committee at the state level to learn and provide feedback on how Texas should be regulating AI.

"At the end of the day, the mission is to put together a report and strategy on how we think Texas should think about AI," she explains. "It's beyond just using an algorithm, they need infrastructure."

Colorado is the first state to pass legislation surrounding AI, and Wilkins says all eyes are on how execution of that new law will go.

"We should have technology that can be double checked to make sure we're applying it in a way that's fair across all demographics. It's obvious that we should do that — it's just very hard," she says.

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5 Houston scientists named winners of prestigious Hill Prizes 2026

prized research

Five Houston scientists were recognized for their "high-risk, high-reward ideas and innovations" by Lyda Hill Philanthropies and the Texas Academy of Medicine, Engineering, Science and Technology (TAMEST).

The 2026 Hill Prizes provide seed funding to top Texas researchers. This year's prizes were given out in seven categories, including biological sciences, engineering, medicine, physical sciences, public health and technology, and the new artificial intelligence award.

Each recipient’s institution or organization will receive $500,000 in direct funding from Dallas-based Lyda Hill Philanthropies. The organization has also committed to giving at least $1 million in discretionary research funding on an ad hoc basis for highly-ranked applicants who were not selected as recipients.

“It is with great pride that I congratulate this year’s Hill Prizes recipients. Their pioneering spirit and unwavering dedication to innovation are addressing some of the most pressing challenges of our time – from climate resilience and energy sustainability to medical breakthroughs and the future of artificial intelligence,” Lyda Hill, founder of Lyda Hill Philanthropies, said in a news release.

The 2026 Houston-area recipients include:

Biological Sciences: Susan M. Rosenberg, Baylor College of Medicine

Rosenberg and her team are developing ways to fight antibiotic resistance. The team will use the funding to screen a 14,000-compound drug library to identify additional candidates, study their mechanisms and test their ability to boost antibiotic effectiveness in animal models. The goal is to move toward clinical trials, beginning with veterans suffering from recurrent infections.

Medicine: Dr. Raghu Kalluri, The University of Texas MD Anderson Cancer Center

Kalluri is developing eye drops to treat age-related macular degeneration (AMD), the leading cause of vision loss globally. Kalluri will use the funding to accelerate studies and support testing for additional ocular conditions. He was also named to the National Academy of Inventors’ newest class of fellows last month.

Engineering: Naomi J. Halas, Rice University

Co-recipeints: Peter J. A. Nordlander and Hossein Robatjazi, Rice University

Halas and her team are working to advance light-driven technologies for sustainable ammonia synthesis. The team says it will use the funding to improve light-driven catalysts for converting nitrogen into ammonia, refine prototype reactors for practical deployment and partner with industry collaborators to advance larger-scale applications. Halas and Nordlander are co-founders of Syzygy Plasmonics, and Robatjazi serves as vice president of research for the company.

The other Texas-based recipients include:

  • Artificial Intelligence: Kristen Grauman, The University of Texas at Austin
  • Physical Sciences: Karen L. Wooley, Texas A&M University; Co-Recipient: Matthew Stone, Teysha Technologies
  • Public Health: Dr. Elizabeth C. Matsui, The University of Texas at Austin and Baylor College of Medicine
  • Technology: Kurt W. Swogger, Molecular Rebar Design LLC; Co-recipients: Clive Bosnyak, Molecular Rebar Design, and August Krupp, MR Rubber Business and Molecular Rebar Design LLC

Recipients will be recognized Feb. 2 during the TAMEST 2026 Annual Conference in San Antonio. They were determined by a committee of TAMEST members and endorsed by a committee of Texas Nobel and Breakthrough Prize Laureates and approved by the TAMEST Board of Directors.

“On behalf of TAMEST, we are honored to celebrate the 2026 Hill Prizes recipients. These outstanding innovators exemplify the excellence and ambition of Texas science and research,” Ganesh Thakur, TAMEST president and a distinguished professor at the University of Houston, added in the release. “Thanks to the visionary support of Lyda Hill Philanthropies, the Hill Prizes not only recognize transformative work but provide the resources to move bold ideas from the lab to life-changing solutions. We are proud to support their journeys and spotlight Texas as a global hub for scientific leadership.”

Investment bank opens new Houston office focused on energy sector

Investment bank Cohen & Co. Capital Markets has opened a Houston office to serve as the hub of its energy advisory business and has tapped investment banking veteran Rahul Jasuja as the office’s leader.

Jasuja joined Cohen & Co. Capital Markets, a subsidiary of financial services company Cohen & Co., as managing director, and head of energy and energy transition investment banking. Cohen’s capital markets arm closed $44 billion worth of deals last year.

Jasuja previously worked at energy-focused Houston investment bank Mast Capital Advisors, where he was managing director of investment banking. Before Mast Capital, Jasuja was director of energy investment banking in the Houston office of Wells Fargo Securities.

“Meeting rising [energy] demand will require disciplined capital allocation across traditional energy, sustainable fuels, and firm, dispatchable solutions such as nuclear and geothermal,” Jasuja said in a news release. “Houston remains the center of gravity where capital, operating expertise, and execution come together to make that transition investable.”

The Houston office will focus on four energy verticals:

  • Energy systems such as nuclear and geothermal
  • Energy supply chains
  • Energy-transition fuel and technology
  • Traditional energy
“We are making a committed investment in Houston because we believe the infrastructure powering AI, defense, and energy transition — from nuclear to rare-earth technology — represents the next secular cycle of value creation,” Jerry Serowik, head of Cohen & Co. Capital Markets, added in the release.

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This article originally appeared on EnergyCaptialHTX.com.

MD Anderson makes AI partnership to advance precision oncology

AI Oncology

Few experts will disagree that data-driven medicine is one of the most certain ways forward for our health. However, actually adopting it comes at a steep curve. But what if using the technology were democratized?

This is the question that SOPHiA GENETICS has been seeking to answer since 2011 with its universal AI platform, SOPHiA DDM. The cloud-native system analyzes and interprets complex health care data across technologies and institutions, allowing hospitals and clinicians to gain clinically actionable insights faster and at scale.

The University of Texas MD Anderson Cancer Center has just announced its official collaboration with SOPHiA GENETICS to accelerate breakthroughs in precision oncology. Together, they are developing a novel sequencing oncology test, as well as creating several programs targeted at the research and development of additional technology.

That technology will allow the hospital to develop new ways to chart the growth and changes of tumors in real time, pick the best clinical trials and medications for patients and make genomic testing more reliable. Shashikant Kulkarni, deputy division head for Molecular Pathology, and Dr. J. Bryan, assistant professor, will lead the collaboration on MD Anderson’s end.

“Cancer research has evolved rapidly, and we have more health data available than ever before. Our collaboration with SOPHiA GENETICS reflects how our lab is evolving and integrating advanced analytics and AI to better interpret complex molecular information,” Dr. Donna Hansel, division head of Pathology and Laboratory Medicine at MD Anderson, said in a press release. “This collaboration will expand our ability to translate high-dimensional data into insights that can meaningfully advance research and precision oncology.”

SOPHiA GENETICS is based in Switzerland and France, and has its U.S. offices in Boston.

“This collaboration with MD Anderson amplifies our shared ambition to push the boundaries of what is possible in cancer research,” Dr. Philippe Menu, chief product officer and chief medical officer at SOPHiA GENETICS, added in the release. “With SOPHiA DDM as a unifying analytical layer, we are enabling new discoveries, accelerating breakthroughs in precision oncology and, most importantly, enabling patients around the globe to benefit from these innovations by bringing leading technologies to all geographies quickly and at scale.”

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