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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Rice student startup lands $1.85M to launch medical drone network

critical cargo

Students at Rice University have developed a medical cargo drone transport system to help deliver sensitive medical supplies and improve mobile healthcare efforts.

Haast Autonomous is the brainchild of graduating seniors Ege Halac, Jason Chen and Santiago Brent, who got their venture idea off the ground with help from the Liu Idea Lab for Innovation and Entrepreneurship (Lilie) Summer Venture Studio. The founders have developed the prototype at Rice’s Oshman Engineering Design Kitchen (OEDK) with fellow Rice researchers Felix Hasson, Ethan Javedan, Kenna Sanders and Caden Schmidt.

The startup has raised $1.85 million in pre-seed funding, according to Rice. The founders plan to focus on Haast full-time following graduation. They said they aim to launch pilot trials in 2027 and head to market later that year.

“We need better alternatives for a fast, safe and on-demand system of transport for life-critical cargo,” Halac said in a news release from Rice.

The Haast team has developed a custom aircraft with software that manages dispatch, routes, and chain of custody to assist in how materials move between sites in centralized medical systems. Generally, the transportation of medical supplies and materials between facilities and points of care relies on ground shipping or expensive air transport.

Haast Autonomous’ aircraft can take off and land vertically, and is designed around a mission profile of 50 to 62 miles. It can carry a payload of at least 5 pounds, with future versions intended to scale up in size. It also includes a built-in payload bay that regulates temperature, pressure, vibration and tilt to protect sensitive contents such as patient samples, antivenom or poisoning kits and radioligands or other therapies, according to Rice.

At first, the company envisioned the mission to be centered around transplants, but saw the product being best suited for a variety of operations.

“What we realized is that the platform we are building is suited for medicine, but it really underlies a much larger problem of mission-critical transport across industries,” Brent added in the news release. “We are building the fastest, most secure logistics chain for the world’s most sensitive cargo.”

Haast Autonomous was recognized at the 2026 Oshman Engineering Design Showcase and Competition, where it won Best Aerospace or Transportation Technology. It also performed well in the 2026 Napier Rice Launch Challenge.

In the future, Haast Autonomous plans to deploy a fleet of aircraft. The software will be designed to assist hospitals in requesting flights and tracking deliveries in real time.

“The drone is only part of the solution,” Chen also added in the release. “What matters is moving something from point A to point B in a way that fits into how hospitals already operate.”

Houston scientist wins prestigious Pew Scholar award for brain cancer research

standout scholar

Christina Tringides, an assistant professor of materials science and nanoengineering at Rice University, is one of 21 scientists to win a prestigious Pew Biomedical Scholar award.

She is the first faculty member from Rice to win the distinction, which provides $300,000 over four years for advances in biomedicine, according to the university. The awards are granted to researchers who are in the first few years at the assistant professor level.

In Tringides’ case, the funding will support her innovative new method of modeling glioblastoma, a common and extremely aggressive form of brain cancer. Thanks to producing its own blood supply, glioblastoma spreads quickly, weaving tendrils of blighted tissue throughout the brain. Because of this, surgery is difficult and conventional therapies ineffective.

Understanding the way glioblastoma spreads is crucial to the search for a cure. Tringides is using hydrogels that mimic the brain’s extracellular matrix. Using cultures and a microscopic labyrinth, her team can see how the cancer spreads, bonds with neurons and changes cell wall activity. Essentially, Tringides has devised an intelligence test for tumors in hopes of learning how to outsmart them.

“As cancer crawls through the maze, we can look at how it is interacting with the neurons more and more, and measure how electrical activity is changing as a result,” she said in a news release from Rice.

Examining how cancer cells grow can reveal which conditional changes slow them down. Finding ways to alter the structure of brain matter in a way that makes it inhospitable to the cancer could lead to therapies that would impede growth or even reverse it. Using her custom-made ersatz brain maze makes it easier to observe changes than it would be in a patient’s brain.

“Imaging synapses is time-intensive ⎯ it can involve large data files that are hard to visualize, but if we know that the only place where we might have a synapse is this tiny 1-by-4-by-10 micron channel, it makes it much faster and reliable to image them,” Tringides said.

Born in Ames, Iowa, Tringides received her doctorate in biophysics from Harvard before joining Rice in 2024 through a Cancer Prevention and Research Institute of Texas (CPRIT) recruitment award.

Her research was also one of the first four projects to receive research awards through the Rice Brain Institute and TMC Neuro Collaboration Seed Grant Program.

Texas residents earn 11th highest income in U.S., says 2026 study

Money Matters

A new WalletHub study comparing income disparities across America has ranked Texas residents No. 11 on the list of states with the highest earning residents in the nation.

The report, "States Where People Have the Highest Income (2026)," analyzed U.S. Census Bureau income data in all 50 states and the District of Columbia. The report evaluated the average annual income of the top five percent, the median annual household income, and the average annual income of the bottom 20 percent of residents in every state, all adjusted for the cost of living.

The report's data revealed the top five percent of Texans, the highest earners, make $520,378 on average yearly after adjusting for the cost of living. That's the seventh-highest income among the top five percent of earners nationwide.

Meanwhile, the median annual income of a Texas household is just under $76,000. The bottom 20 percent of Texas residents make $17,651 a year, the report found.

For additional context, the latest data from the Federal Reserve shows an American household's median yearly income is about $83,700. WalletHub analyst Chip Lupo also found that the highest earning 10 percent of individuals in the U.S. earn over 12 times more than those in the lowest-earning 10 percent, based on the latest Census data.

"By measuring the income of various percentiles against a state's median income, we can better identify where income disparities are more prevalent, which could help us better understand why residents of certain states struggle more to make ends meet," said Lupo.

Virginia is the state where residents earn the highest income in the U.S., WalletHub said. Based on the report's findings, the top five percent of Virginians make $545,097 on average per year after adjusting for the cost of living. The median annual income of a Virginia household comes out to $95,339, and the bottom 20 percent of residents make $19,671 annually on average.

Conversely, West Virginia is the state where people have the lowest income in the U.S. A West Virginia household makes a median annual income of $56,610, the third-lowest nationally, and the bottom 20 percent of residents make $13,260 on average per year, which is the fifth-lowest in the nation. The top five percent of West Virginians make $372,218 on average per year.

The top 10 states where residents have the highest income are:

No. 1 – Virginia
No. 2 – New York
No. 3 – New Jersey
No. 4 – Washington
No. 5 – Connecticut
No. 6 – Utah
No. 7 – Colorado
No. 8 – Minnesota
No. 9 – Illinois
No. 10 – Massachusetts

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This article originally appeared on CultureMap.com.

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