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.

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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Intuitive Machines lands $148M as part of NASA Moon Base funding

to the moon

Houston-based Intuitive Machines has been awarded $148.3 million to deliver its Nova-C lander to the moon by 2028. The funding is part of $600 million that NASA recently awarded to three companies as part of the agency’s Moon Base Program.

The contracts aim to support sustained human presence and commercial operations on the Moon. Austin-based Firefly Aerospace was awarded $144.2 million by NASA for one mission and Pittsburgh-based Astrobotic netted $297.9 million for two lunar landings. Intuitive Machine's award is the company's sixth task order under NASA's Commercial Lunar Payload Services (CLPS) program.

“We’re building a proving ground for Moon Base operations,” Ryan Stephan, NASA’s Moon Base acting director of cargo landers, said in a news release. “Accelerating our Moon mission ordering cadence and launch opportunities enable us to move quickly to learn, iterate, and improve.”

Under the latest task order, Intuitie Machines will deliver three scientific and operational payloads to the moon, which include a:

Linear Energy Transfer Spectrometer (LETS) radiation monitor to gather critical environmental safety data
Advanced stereo cameras to analyze surface-plume interactions (SCALPSS)
Laser retroreflector array (LRA) for precise cislunar positioning

The funding breakdown includes a $68.6 million base contract and a $79.7 million performance incentive for Intuitive Machines.

The company says the funding will allow it to create a standardized and repeatable "lunar utility pipeline" for delivering cargo to the moon.

"We are shifting the paradigm from custom aerospace engineering to commercial mass production of lunar infrastructure," Steve Altemus, CEO of Intuitive Machines, said in a separate news release. "Our flight-proven Nova-C platform allows us to build, test, and deploy multiple landers in parallel using Industry 4.0-powered manufacturing. This contract directly advances our core mission to provide persistent, reliable, and commercial baseline of transport, connectivity, and operations that allows our customers to stay longer and achieve more on the Moon."

NASA also shared that it is exploring plans to send PROMISE, a rover based on the Mars Perseverance and Curiosity rovers, to the moon and it plans to seek proposals for additional lunar lander missions, technology demonstrations, a communications and navigation satellite network, and new science payloads to support its lunar outpost. NASA is developing its Moon Base near the lunar South Pole. The agency expects it to come to fruition sometime after 2032.

Intuitive Machines had received its last CLPS award for $180.4 million in March 2026. It will be the first mission to utilize the company's larger cargo lunar lander, Nova-D. The company was also recently awarded a $1 million grant from Maryland Gov. Wes Moore to expand its robotics operations in the state.

UT team develops wearable technology for atmospheric water harvesting

In The Air

Engineers at the University of Texas at Austin have developed a prototype jacket that harvests clean drinking water directly from the atmosphere, and it works even in the driest desert conditions.

The research, published in Science Advances, marks the latest milestone in nearly a decade of work by materials scientist and chair professor Guihua Yu and his team at the Cockrell School of Engineering's Walker Department of Mechanical Engineering and Texas Materials Institute. The wearable technology marks a significant leap: instead of a bulky, stationary machine, this jacket does the work.

Photo courtesy of UT Austin

"We have been working on atmospheric water harvesting technology for a number of years," Yu says. "This current version is even more wearable. We're transitioning from conventional, more stationary water harvesting to something truly portable and personal."

Yu's lab first published work on hydrogel-based water harvesting around 2019, and the jacket is the latest evolution of that platform, now called AirGel. Last year, the broader AirGel invention won the top prize in the graduate category of the National Collegiate Inventors Competition.

The jacket is woven with specially engineered hydrogel fibers; ultra-porous materials that attract and absorb moisture from the surrounding air much like a household desiccant. Unlike a desiccant, the material doesn't require intense heat to release that water. The hydrogel is thermally responsive, meaning a modest rise in temperature — even from mild solar heating — is enough to release the water it has captured.

So, somebody would be wearing the jacket, or perhaps carrying this gel-like textile as a blanket, as it passively absorbs moisture from the air. Then they would detach the textile panels and place them into a small, portable collector unit; essentially a compact heater. The water evaporates out of the textile, condenses inside the collector, and drips out as clean, drinkable water.

"It immediately becomes drinkable because it already goes through the distillation process," Yu explains.

In trials, the jacket produced between 400 and 900 milliliters of water per day depending on humidity, or roughly 14-30 ounces, nearly a quart, depending on the air's humidity. With one kilogram of the textile, the researchers found they could generate approximately 3.7-4 liters of water in arid conditions, and potentially double that in humid ones. So far, the team has tried the jacket out in very dry, semi-dry, and humid areas, and the jacket was able to pull water from each climate.

Lead researcher Chuxin Lei, a postdoctoral researcher on Yu's team and co-author on the paper, says the goal was to rethink who this technology could serve.

"Many current [atmospheric water harvesting] systems are still built as rigid or stationary platforms, making them less suitable for people who are moving, working outdoors, or operating in some remote environment. This lead us to ask whether we could build a water harvesting system that could become more like clothing — light, wearable, flexible, and naturally suited for personal use," Lei says.

The potential applications are wide-ranging. Yu's team has previously worked with the Department of Defense on water solutions for soldiers, where water logistics can be dangerous and costly. The technology could also serve hikers, emergency responders, disaster relief workers, and agricultural and field workers. Anyone who needs clean water on the go and far from infrastructure.

The team also sees a potential future where the technology complements large-scale centralized water systems rather than replacing them.

"Our solution cannot be a universal solution for all," Yu acknowledges. "But I think it's an extremely important alternative."

For now, the jacket is still a laboratory prototype, but Yu and Lei are optimistic. With the right industry partnerships, they say, the technology could realistically reach commercial scale within three to five years.

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This article originally appeared on CultureMap.com, written by Natalie Grigson.

Houston ranks among world’s top 30 emerging startup ecosystems

Startup Status

Long known as the Energy Capital of the World, Houston also ranks among the world’s top 30 emerging startup ecosystems, according to a new report.

The report from Startup Genome, a research and advisory organization, doesn’t assign a specific numeric ranking to Houston’s startup ecosystem. Rather, it puts Houston in the ranking range of 21 to 30 for emerging ecosystems. Startup Genome weighed factors such as early-stage funding, performance and talent to identify the top emerging ecosystems.

Houston also gained notice for being one of the world’s 20 emerging ecosystems with at least four unicorn startups in the past 10 years. Houston and nine other ecosystems each had four unicorns.

According to StartupBlink, a startup research platform, Houston’s startup ecosystem grew 24 percent in 2025, with over 1,300 startups and total startup funding exceeding $808 million. StartupBlink places Houston at No. 46 among the world’s top 100 startup ecosystems.

In a recent post on LinkedIn, David Horsup, executive in residence at the Rice Alliance Clean Energy Accelerator, wrote that Houston “has all the ingredients to be wildly successful if it stays true to its differentiated pillars that drive the economy — energy, medical, and aerospace.”

Mumbai topped Startup Genome’s list of emerging ecosystems, followed by Istanbul, Madrid, Salt Lake City-Provo and Barcelona. After Salt Lake City-Provo, the top U.S. ecosystems were Phoenix, Detroit, Minneapolis and Las Vegas.

Silicon Valley led Startup Genome’s ranking of the world’s top established ecosystems, followed by New York City, London, Tel Aviv and Boston. Austin landed at No. 18 in this category and Dallas at No. 27.

“For much of the past decade, this report has chronicled the welcome dispersion of opportunity beyond the traditional hubs,” Startup Genome writes. “That trend has not died — but it has been complicated. Capital and scale are consolidating once more, particularly in the United States, and the gap between leading and emerging ecosystems is widening.”

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