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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Persona AI teams with Under Armour to protect next-gen robots

Future Fabrics

Houston-based Persona AI has cemented a partnership with sportswear manufacturer Under Armour to provide materials to protect future robots operating in dangerous conditions.

Through the partnership, Persona AI and Under Armour will launch a research initiative to explore whether advanced performance textiles can improve the durability and resilience of humanoid robots operating in harsh industrial environments.

“This is an opportunity to apply our innovation expertise in a new context,” Kyle Blakely, senior vice president of innovation, design studio, development, and testing at Under Armour, said in a news release. “Robotics presents a fascinating new design challenge, and we aim to play a leading role in shaping performance solutions for these environments. As humanoid systems take on more physically demanding roles, we see real potential to create new market opportunities, and we’re exploring how concepts like thermal management, abrasion resistance, and flexibility translate beyond sport."

Founded in June 2024 by former NASA engineer Nicolaus Radford and former Figure AI CTO Jerry Pratt, Persona AI has quickly risen to be a top name in the development of humanoid robotic systems. Radford previously was the principal investigator at NASA’s Dexterous Robotics Lab before becoming CEO of Nauticus Robotics. While at NASA, he was the chief engineer behind Robotnaut 2, the first humanoid robot on the International Space Station.

Persona AI raised $25 million in preseed funding to develop humanoid robots designed to operate in shipyards and other industrial sites. The company has inked partnerships with HD Korea Shipbuilding & Offshore Engineering, HD Hyundai Robotic, and Korean manufacturing firm Vazil Company to create and deploy humanoid robots for complex welding tasks in shipyards.

These environments often involve exposure to dangerous chemicals, harsh weather and other potential hazards. The partnership between Persona AI and Under Armour will combine the clothing manufacturer’s development of resilient but flexible materials with the humanoid design of Persona AI.

Though best known for its sportswear, Under Armour produces a wide range of specialist fabrics and clothing, including an entire line used by the U.S. military. The company’s track record of developing high-performance fabrics built to withstand war zones and desert conditions makes it a strong partner in Persona AI’s latest endeavor.

“We chose to work with Under Armour because of their track record of innovation with these types of performance materials,” Radford said. “As we develop humanoids for intense and potentially hazardous environments, this collaboration helps us understand how advanced materials can enhance long-term reliability, thereby informing solutions to better protect workers in the field.”

Global summit spotlights Houston's growing role in brain health, innovation

where to be

The Center for Houston’s Future and UTMB are bringing the Texas Brain Economy Summit back to Houston this summer to continue to position the region as a global leader in brain health.

The summit, held June 9-10 at the Texas Medical Center's Helix Park, will bring together more than 500 executives, researchers, policymakers and innovators from around the world to discuss the global brain economy.

Attendees can expect to hear from leaders of global institutions, including the World Economic Forum, U.S. Chamber of Commerce, McKinsey Health Institute, Global Brain Economy Initiative, Davos Alzheimer’s Collaborative, Business Collaborative for Brain Health (UsAgainstAlzheimer’s), Rice University, Memorial Hermann, MD Anderson and many others.

Day 1 of the conference will focus on "Enabling Human Flourishing & Economic Growth." Day 2 will focus on "Scaling Innovation & AI Solutions in the Brain Economy."

Keynotes will be delivered by:

  • Lexi Branson, vice president of health policy at the U.S. Chamber of Commerce
  • Kana Enomoto, director of the McKinsey Health Institute
  • Megan Henshall, founder of Google Experience Institute (Xi)
  • Ryan Howard, co-lead of Google Experience Institute (Xi)
  • Dr. Hani Jneid, John Sealy Distinguished Centennial Chair in Cardiology and vice president of cardiovascular operations at UTMB
  • Steve Kean, president and CEO of the Greater Houston Partnership
  • Dan Patrick, Lieutenant Governor of Texas
  • Jochen Reiser, president of UTMB
  • Thomas Seitz, senior partner of the McKinsey Health Institute

Other significant speakers include:

  • Rym Ayadi, founder and president of the Euro-Mediterranean Economists Association (EMEA) and co-founder of the Brain Capital Alliance
  • Arthur Evans, CEO and executive vice president of the American Psychological Association
  • David Gow, president and CEO of the Center for Houston’s Future (Gow is the founder and chairman of Gow Media, InnovationMap's parent company)
  • Bill McKeon, president and CEO of the Texas Medical Center
  • Jeff Merritt, head of urban transformation at the World Economic Forum
  • Joanne Pike, president and CEO of the Alzheimer’s Association
  • George Vradenburg, founding chairman of Davos Alzheimer’s Collaborative and co-founder, chairman and CEO of Us Against Alzheimer’s

The event is supported through Project Metis, which was launched by the Center for Houston’s Future last year. Led by Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department, the initiative aims to advance the understanding, prevention and treatment of the brain. It was developed on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT).

“Texas voters, by approving the state-funded Dementia Prevention Institute, have shown a strong commitment to brain health, as scientific advances continue daily. [Project Metis] aims to harness the Houston region’s unique strengths: its concentration of leading medical and academic institutions, a vibrant innovation ecosystem, and a history of entrepreneurial leadership in health and life sciences,” Gow said at the time.

Learn more about The Texas Brain Economy Summit and purchase tickets here.

Texas solar power poised to surpass coal for the first time in 2026

Powering Texas

Solar power promises to shine even brighter in Texas this year.

A new forecast from the U.S. Energy Information Administration (EIA) indicates that for the first time, annual power generation from utility-scale solar will surpass annual power generation from coal across the territory covered by the Electric Reliability Council of Texas (ERCOT).

Solar generation is expected to reach 78 billion kilowatt-hours in 2026 in the ERCOT grid, compared with 60 billion kilowatt-hours for coal, the EIA forecast says. The ERCOT grid supplies power to about 90 percent of Texas, including the Houston area.

“Utility-scale solar generation has been increasing steadily in ERCOT as solar capacity additions help meet rapid electricity demand growth,” the forecast says.

Although natural gas remains the dominant source of electricity generation in ERCOT, accounting for an average 44 percent of electricity generation from 2021 to 2025, solar’s share of the generation mix rose from four percent to 12 percent. During the same period, coal’s share dropped from 19 percent to 13 percent.

EIA predicts about 40 percent of U.S. solar capacity, or 14 billion kilowatt-hours, added in 2026 will come from Texas.

Although EIA expects annual solar generation to exceed annual coal generation in 2026, solar surpassed coal in ERCOT on a monthly basis for the first time in March 2025, when solar generation totaled 4.33 billion kilowatt-hours and coal’s totaled 4.16 billion kilowatt-hours. Solar generation continued to exceed that of coal until August of that year.

“In 2026, we estimate that solar exceeded coal for the first time in March, and we forecast generation from solar installations in ERCOT will continue to exceed that from coal until December, when coal generation exceeds solar,” says EIA. “We expect solar generation to exceed that of coal for every month in 2027 except January and December.”

For 2027, EIA forecasts annual solar generation of 99 billion kilowatt-hours in the ERCOT grid, compared with 66 billion kilowatt-hours of annual coal generation.

In April, ERCOT projected almost 368 billion kilowatt-hours of demand in ERCOT’s territory by 2032. ERCOT’s all-time peak demand hit 85.5 billion kilowatt-hours in August 2023.

“Texas is experiencing exceptional growth and development, which is reshaping how large load demand is identified, verified, and incorporated into long-term planning,” ERCOT President and CEO Pablo Vegas said. “As a result of a changing landscape, we believe this forecast to be higher than expected … load growth.”

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This article first appeared on EnergyCapitalHTX.com.

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