11 Houston researchers named to Rice innovation cohort

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Lilie has named the 2026 Rice Innovation Fellows. Photo via LinkedIn.

The Liu Idea Lab for Innovation and Entrepreneurship (Lilie) has named 11 students and researchers with breakthrough ideas to its 2026 Rice Innovation Fellows cohort.

The program, first launched in 2022, aims to support Rice Ph.D. students and postdocs in turning their research into real-world ventures. Participants receive $10,000 in translational research funding, co-working space and personalized mentorship.

The eleven 2026 Innovation Fellows are:

Ehsan Aalaei, Bioengineering, Ph.D. 2027

Professor Michael King Laboratory

Aalaei is developing new therapies to prevent the spread of cancer.

Matt Lee, Bioengineering, Ph.D. 2027

Professor Caleb Bashor Laboratory

Lee’s work uses AI to design the genetic instructions for more effective therapies.

Thomas Howlett, Bioengineering, Postdoctoral 2028

Professor Kelsey Swingle Laboratory

Howlett is developing a self-administered, nonhormonal treatment for heavy menstrual bleeding.

Jonathan Montes, Bioengineering, Ph.D. 2025

Professor Jessica Butts Laboratory

Montes and his team are developing a fast-acting, long-lasting nasal spray to relieve chronic and acute anxiety.

Siliang Li, BioSciences, Postdoctoral 2025

Professor Caroline Ajo-Franklin Laboratory

Li is developing noninvasive devices that can quickly monitor gut health signals.

Gina Pizzo, Statistics, Lecturer

Pizzo’s research uses data modeling to forecast crop performance and soil health.

Alex Sadamune, Bioengineering, Ph.D. 2027

Professor Chong Xie Laboratory

Sadamune is working to scale the production of high-precision neural implants.

Jaeho Shin, Chemistry, Postdoctoral 2027

Professor James M. Tour Laboratory

Shin is developing next-generation semiconductor and memory technologies to advance computing and AI.

Will Schmid, Electrical and Computer Engineering, Postdoctoral 2025

Professor Alessandro Alabastri Laboratory

Schmid is developing scalable technologies to recover critical minerals from high-salinity resources.

Khadija Zanna, Electrical and Computer Engineering, Ph.D. 2026

Professor Akane Sano Laboratory

Zanna is building machine learning tools to help companies deploy advanced AI in compliance with complex global regulations.

Ava Zoba, Materials Science and Nano Engineering, Ph.D. 2029

Professor Christina Tringides Laboratory

Zoba is designing implantable devices to improve the monitoring of brain function following tumor-removal surgery.

According to Rice, its Innovation Fellows have gone on to raise over $30 million and join top programs, including The Activate Fellowship, Chain Reaction Innovations Fellowship, the Texas Medical Center’s Cancer Therapeutics Accelerator and the Rice Biotech Launch Pad. Past participants include ventures like Helix Earth Technologies and HEXASpec.

“These fellows aren’t just advancing science — they’re building the future of industry here at Rice,” Kyle Judah, Lilie’s executive director, said in a news release. “Alongside their faculty members, they’re stepping into the uncertainty of turning research into real-world solutions. That commitment is rare, and it’s exactly why Lilie and Rice are proud to stand shoulder-to-shoulder with them and nurture their ambition to take on civilization-scale problems that truly matter.”

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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.

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

biotech breakthrough

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.”

Xiaoyu Yang, a graduate student at Rice, is the lead author on a study published in the journal Science on smart cell design. Photo by Jeff Fitlow/ Courtesy Rice University

Rice research breakthrough paves the way for advanced disease therapies

study up

Bioengineers at Rice University have developed a “new construction kit” for building custom sense-and-respond circuits in human cells, representing a major breakthrough in the field of synthetic biology, which could "revolutionize" autoimmune disease and cancer therapeutics.

In a study published in the journal Science, the team focused on phosphorylation, a cellular process in the body in which a phosphate group is added to a protein, signaling a response. In multicellular organisms, phosphorylation-based signaling can involve a multistage, or a cascading-like effect. Rice’s team set out to show that each cycle in a cascade can be treated as an elementary unit, meaning that they can be reassembled in new configurations to form entirely novel pathways linking cellular inputs and outputs.

Previous research on using phosphorylation-based signaling for therapeutic purposes has focused on re-engineering pathways.

“This opens up the signaling circuit design space dramatically,” Caleb Bashor, assistant professor of bioengineering and biosciences and corresponding author on the study, said in a news release. “It turns out, phosphorylation cycles are not just interconnected but interconnectable … Our design strategy enabled us to engineer synthetic phosphorylation circuits that are not only highly tunable but that can also function in parallel with cells’ own processes without impacting their viability or growth rate.”

Bashor is the deputy director for the Rice Synthetic Biology Institute, which launched last year.

The Rice lab's sense-and-respond cellular circuit design is also innovative because phosphorylation occurs rapidly. Thus, the new circuits could potentially be programmed to respond to physiological events in minutes, compared to other methods, which take hours to activate.

Rice’s team successfully tested the circuits for sensitivity and their ability to respond to external signals, such as inflammatory issues. The researchers then used the framework to engineer a cellular circuit that can detect certain factors, control autoimmune flare-ups and reduce immunotherapy-associated toxicity.

“This work brings us a whole lot closer to being able to build ‘smart cells’ that can detect signs of disease and immediately release customizable treatments in response,” Xiaoyu Yang, a graduate student in the Systems, Synthetic and Physical Biology Ph.D. program at Rice who is the lead author on the study, said in a news release.

Ajo-Franklin, a professor of biosciences, bioengineering, chemical and biomolecular engineering and a Cancer Prevention and Research Institute of Texas Scholar, added “the Bashor lab’s work vaults us forward to a new frontier — controlling mammalian cells’ immediate response to change.”

These three entrepreneurs saw a need in their industries and created their own solutions. Photos courtesy

3 Houston innovators to know this week

Who's who

A true innovator is someone who's able to look past how something has been done for years — decades even — and be creative enough to find a better way to do it.

From redesigning conventional lab space to seeing a niche opportunity for luxury home rentals, these three innovators to know this week have made strides in changing the game.

Caleb Bashor, professor at Rice University

Photo courtesy of Caleb Bashor

Not all labs are created equal — or affordably. Caleb Bashor, a professor at Rice University, along with seven colleagues, created a DIY lab to further research efforts based at the university.

The DIY lab, eVOLVER, comprises three modules: a customizable "smart sleeve" housing and interface for each culture vessel, a fluidic module that controls movement of liquid in and out of each culture vessel, and a modular hardware infrastructure that simplifies high-volume bi-directional data flow by decoupling each parameter into individual microcontrollers.

"The prototype 16-chamber version of eVOLVER described in the new paper cost less than $2,000, cheaper than what a lab might pay for a single continuous culture bioreactor," Bashor says. Read more about the eVOLVER here.

Sébastien Long, founder and CEO of Lodgeur

Photo courtesy of Lodgeur

Sébastien Long ended up in Houston by chance, and the city ended up being a great place to take his luxe apartment rental business plan and turn it into a reality. Houston-based Lodgeur is a rental company that takes the convenience of Airbnb and adds in the luxury experience of a hotel.

Long identified stylish apartment complexes and built his business which now has a couple properties downtown that are attractive to a niche market of clientele.

"We're roughly split between leisure guests and business travelers," Long says. "They want to feel like they're staying in a home away from home." Read more about Lodgeur here.

Gustavo Sanchez, co-founder and CEO of Pandata Tech

Photo courtesy of Pandata Tech

In oil and gas, proper data management can be the difference of millions of dollars in savings. Pandata Tech can run a data quality check for its oil and gas clients — and even engages automation and machine learning for quicker, more thorough results.

Gustavo Sanchez, co-founder and CEO of the company, is looking to bring his data systems into new industries, like health care, where data management can be hectic, overwhelming, and crucial to life-saving opportunities.

"There's so much data, and it's so noisy, that it's hard to know whether the data can be trusted or not," Sanchez says. Read more about Pandata Tech here.

The DIY lab, called the eVOLVER, costs $2,000 less than a comparable setup. Photo courtesy of Rice University

Houston scientist creates a DIY lab concept for flexible and efficient work

Work space

Every scientist needs his or her own space, and each discipline calls for different types of tools and space requirements. Caleb Bashor, a professor at Rice University, along with seven colleagues, created a DIY lab to further research efforts based at the university.

Stemming from the need of a more customized study, Bashor and his team created a setup that combines the control of automated cell-culturing systems that can run continuously for months with the scale of high-throughput systems that grow dozens of cultures at once, according to a news release issued by Rice University.

The DIY lab, eVOLVER, comprises three modules: a customizable "smart sleeve" housing and interface for each culture vessel, a fluidic module that controls movement of liquid in and out of each culture vessel, and a modular hardware infrastructure that simplifies high-volume bi-directional data flow by decoupling each parameter into individual microcontrollers.

"The prototype 16-chamber version of eVOLVER described in the new paper cost less than $2,000, cheaper than what a lab might pay for a single continuous culture bioreactor," Bashor says in the release.

Bashor, who has been at the university since 2017, has worked in science for 15 years and received his post doctorate from Massachusetts Institute of Technology, where he met many of his colleagues that collaborated on eVOLVER.

"If you don't have something to do the job in the lab, you go and you build it," says Bashor. "It might take a few rounds of building and rebuilding, but eventually you get around to having it be something that gives you what you want. In this case, it's something a lot of different academic labs want now, we have actually given this out to dozens of labs."

The DIY initiative has made waves throughout the Rice student body, Bashor shares with InnovationMap. One graduate student, Brandon Wong, tasked to help with the project has shared a how-to for the DIY lab online.

"It's a basic research tool, it's exciting," says Bashor. It's something that can be leveraged for a lot of great research projects inside of the university."

Bashor and his team in the bioengineering department support lead cellular and biomolecular engineering research, which led them to create the lab.

"We turned to DIY electronics and we decided to build it ourselves," Bashor tells InnovationMap. "The process took about three years. We had to learn all of the tools that were out there for doing DIY work and a lot of these tools have showed up in the last ten years."

Rice University's department of bioengineering is a member of the Texas Medical Center and hosts interdisciplinary training programs at MD Anderson Cancer Center and Baylor College of Medicine, according to the school's website.

"This is one of the biggest centers in the world for immunotherapy, particularly clinical immunotherapy, and so we're working with people who do immunotherapy using my special engineering techniques, which mostly involve engineering the way that cells behave to try to more effectively kill cancer," says Bashor.

Caleb Bashor and his associates created the lab. Photo courtesy of Rice University

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Axiom Space tops $525M in oversubscribed round, announces Swiss subsidiary

funding boost

Axiom Space tacked on an additional $175 million to a previously announced capital raise, bringing the oversubscribed round to a total of more than $525 million.

Axiom shared in February that it had secured $350 million in a financing round led by Type One Ventures and Qatar Investment Authority. In the latest release from the company, Axiom reports that Japan-based MUFG Bank Ltd. joined the round as a new investor, in addition to continued participation from existing backers.

The funding will go toward developing the company's commercial space station, known as Axiom Station, and the production of its Axiom Extravehicular Mobility Unit (AxEMU) under its NASA spacesuit contract.

“Investor interest in this round outpaced what we set out to raise, which speaks to the moment we’re in,” Jonathan Cirtain, CEO and president of Axiom Space, said in the news release. “Our partners see what is possible in low-Earth orbit, and they see who is positioned to lead it.”

Axiom announced last month that it planned to open a Japanese subsidiary July 1. Earlier this week, it also shared plans to establish Axiom Space Switzerland, a wholly owned subsidiary based in Lucerne that is also expected to begin operations this summer.

The Switzerland subsidiary aims to establish Axiom's presence in Europe and help it partner with the European Space Agency and other space organizations and companies on the continent.

“Europe is a founding leader in the creation of the commercial space economy, and Switzerland is uniquely positioned to convene the government agencies, research institutions, and industrial entities that will shape its next decade,” Cirtain added in a separate release. “Axiom Space Switzerland facilitates the scaling of development and deployment of the infrastructure that will succeed the International Space Station.”

Texas cashes in among 10 best U.S. state economies in 2026 report

State Economics

A new study gauging the success or decline in economic performance in every state has revealed Texas' economy remains stable in 2026 after it dropped out of the top five to No. 8 last year.

Texas boasts the No. 8 best state economy in the U.S. this year, according to WalletHub's annual "Best & Worst State Economies" report. The personal finance website's analysts ranked all 50 states and the District of Columbia across 28 relevant metrics to measure each state's economic activity and health status, and its "innovation potential."

Notably, Texas leads the nation for the most exports per capita in the U.S. in a five-way tie with Louisiana, Kentucky, North Dakota, and Indiana. Across the study's three main categories, Texas ranked highly for its economic activity (No. 7) and economic health (No. 11), and the state's "innovation potential" rank is the 24th best in the nation.

This is how WalletHub ranked Texas' economic performance, where No. 1 is considered the best and No. 25 is considered average:
  • No. 6 – Change in non-farm payrolls
  • No. 8 – Change in GDP
  • No. 8 – Startup activity
  • No. 11 – Annual median household income
  • No. 18 – Government surplus/deficit per capita
  • No. 21 – Percentage of jobs in high-tech industries
  • No. 30 – Unemployment rate
WalletHub previously ranked Texas one of the top three states to start a business in 2026, with Houston earning its own entrepreneurial acclaim in separate rankings of the best big cities for new businesses and for starting a career.

"U.S. economic growth depends heavily on the performance of individual states, and some contribute more than others," the report's author wrote. "For example, California, Texas, New York and Florida have economies so large that if they were countries, they would rank in the top 20 in the world."

The five states with the worst state economies in 2026 are Rhode Island (No. 47), Maine (No. 48), Louisana (No. 49), Kentucky (No. 50), and West Virginia (No. 51).

The top 10 best state economies for 2026 are:

  • No. 1 – Massachusetts
  • No. 2 – Washington
  • No. 3 – Utah
  • No. 4 – California
  • No. 5 – Delaware
  • No. 6 – North Carolina
  • No. 7 – New York
  • No. 8 – Texas
  • No. 9 – Colorado
  • No. 10 – Florida

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This article originally appeared on CultureMap.com.

Houston lab explores how AI bots can help the elderly

AI for aging

The University of Houston’s Empathetic Lifespan AI & Robotics for Aging (ELARA) Lab is currently conducting research into how AI bots may be able to help the elderly live more social and independent lives through several ongoing initiatives.

The lab officially launched last month as part of the Gerald D. Hines College of Architecture & Design under the leadership of Assistant Professor Chorong Park. Part of the lab’s mission is tackling ongoing problems with aging, such as dealing with disabilities and social isolation. Researchers’ current work is focused on designing a new AI companion bot specifically tailored to the needs of older people.

“We need to take all the needs of older adults seriously,” Park said in a news release. “They won't use the robot if they don't feel at ease or if they feel they are being constantly watched.”

The field testing of new AI bots in this population hopes to overcome several traditional obstacles in technology use among the elderly. A study by Park shows that many older people have a fear of overt surveillance when using advanced AI. There is also ageism to consider. Most new technologies are designed with younger and employed buyers in mind, not retirees who may need help remembering daily tasks or accessing important information.

“The more older adults are excluded from technology development, the worse those technology gaps will become,” Park said. “AI and the majority of technologies are created for younger people, so my research method integrates older adults directly into the design process.”

ELARA recently collaborated with the Mamie George Community Center in Richmond, Texas, to track seniors’ response to desktop AI bots like Emo and Cupboo. Researchers also had participants use air-dry modeling clay to create their ideal robotic companion.

While the eventual AI bot may be able to help the elderly feel less isolated and more supported, there are concerns to consider. A study published in the Asian Journal of Psychology charted the development of delusional thinking in a 72-year-old woman who became convinced the empathic-response bot was in love with her. The rise of “AI psychosis” has the potential to exacerbate mental health problems, particularly in socially isolated people, which a quarter of Americans over the age of 65 are.

ELARA’s research is focused on creating “pet-like” AI models with enhanced trust cues. If it can overcome the dangers of socially isolated people relying on AI for companionship, it could be a big step forward for independent aging.
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