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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This is the salary required to live comfortably in Texas in 2026

Money Matters

A new national report looking at the income it takes to live comfortably in each of the 50 states has revealed Texans need to earn slightly less now than a year ago.

SmartAsset analyzed what a single individual, as well as family of four, must earn to cover minimum basic needs adjusted using the 50/30/20 budgeting rule. The resulting estimate represents the annual, pre-tax income needed to live comfortably in every U.S. state.

A single, full-time worker needs to make $90,563 to live comfortably in the Lone Star State, the report found, which is down a meager 0.2 percent from last year ($90,771).

Under the 50/30/20 budgeting strategy, that means a single Texas earner would have $45,282 to spend on necessities like housing and utilities, $27,169 for discretionary spending, and $18,113 for emergencies or retirement savings.

Texas ranked 34th nationally in SmartAsset's list of states with the highest income needed for a single adult to live "in sustainable comfort" in 2026. Only five other states — Tennessee, Maryland, Louisiana, North Carolina, and Mississippi — saw a decline in the income needed to live comfortably this year.

For a family of four to live comfortably in Texas, income requirements change significantly, according to the findings. To support a two-child household, a family needs $203,424 in combined total household income to be considered financially stable. This is down slightly from 2025, when SmartAsset reported a family of four in needed $204,922 to live comfortably in Texas.

This is a comfortable lifestyle for a family of four in Texas, according to the report:

$101,712 dedicated to necessities and living expenses
$61,027 dedicated to discretionary spending
$40,685 dedicated to emergencies, savings, or debt repaymen

According to the report, a family of four now needs to make at least $200,000 to live comfortably in 40 U.S. states, a figure that is far out of reach for many American families.

"As housing, grocery, transportation and other essential costs pressure household budgets, earning a six-figure salary no longer guarantees financial comfort in much of the U.S.," the report said. "A single adult now needs at least $80,000 a year to live comfortably in every state, while the threshold exceeds $100,000 in nearly half of states. For a family of four, the income needed to live comfortably is as much as $329,000."

Still, earning the minimum income to live comfortably in Texas doesn't guarantee financial stability in the Lone Star State's major cities. Earlier this year, SmartAsset determined single residents in Houston need to make about $90,000 to qualify as financially stable, while families of four need around $205,000.

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This article originally appeared on CultureMap.com.

Texas is the 7th hardest working state in America for 2026, says report

Labor Day Report

Texans pride themselves on being industrious, and a new report has confirmed Texas as one of the 10 most hardworking states in America in 2026.

The Lone Star State claimed the No. 7 spot this year in a slight dip from its 2025 ranking, where it appeared in the top five. Texas last ranked 7th in 2024, but the state has consistently appeared among the top 10 for nearly a decade.

WalletHub determined the rankings after analyzing 10 "direct" and "indirect" work factors across all 50 states, and then graded each metric on a 100-point scale, where a score of 100 signified the "hardest working." Analysts then examined each state’s weighted average across all metrics to calculate its overall score and used the resulting scores to rank-order the states.

There was only a 10.32-point difference between Texas and South Dakota, who claimed the top spot as America's hardest working state in 2026 with a score of 64.59 out of a possible 100 points.

Texas ranked 6th nationally in the "direct" work factors category, which examined the following six metrics:

The state's average workweek hours.
Employment rates.
The share of households where no adults work.
The share of workers leaving vacation time unused.
The share of "engaged" workers — those that are "involved in, enthusiastic about, and committed to their work and workplace," as defined by Gallup.
The rate of "idle youth" — individuals aged 18-24 who are not currently enrolled in school, not working, and have no degree beyond a high school diploma or GED.

Texas ties with Louisiana for the second highest average workweek hours nationwide, with Alaska topping the list with the No. 1 longest workweeks in America. Alaska is the only state where workers clock in more than 40 hours per week at their jobs, with WalletHub reporting Alaskans work 41.4 hours on average weekly.

In the "indirect" work factors category — which encompassed workers' average commute times, the share of workers with multiple jobs, annual volunteer hours per resident, and the average leisure time spent per day — Texas ranked 36th nationwide.

Here's how WalletHub ranked Texas in three individual metrics:

No. 10 – Average commute times
No. 20 – Average leisure time spent per day
No. 30 – Employment rates

According to the World Economic Forum, Americans clock in about 1,800 hours at work per year on average, which is 468 more hours per year than workers in Germany. And many are leaving vacation time on the table, WalletHub says.

"Even when given the chance to take time off, many Americans won’t, as nearly half of workers don't expect to use all of their allotted vacation days," the report said. "It is possible to work hard without overdoing it, though. Hard work is key to success, and the residents of some states understand that better than others."

The top 10 hardest working states in America in 2026 are:

No. 1 – South Dakota
No. 2 – North Dakota
No. 3 – Alaska
No. 4 – Hawaii
No. 5 – Wyoming
No. 6 – Nebraska
No. 7 – Texas
No. 8 – New Hampshire
No. 9 – Tennessee
No. 10 – Georgia

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This article originally appeared on CultureMap.com.

Houston ranks No. 3 among rising coding markets in U.S.

city code

When you think of coders—the wizards who design, write and test programming languages for software and mobile apps—tech hotbeds like Silicon Valley and Austin might pop into your head.

But Houston has earned a spot on the coding map.

A new study puts the Houston area in third place among the fastest-growing metros for coding in the U.S.

The study, published by coding platform Coddy Tech, ranks Albuquerque, New Mexico, as the top on-the-rise market for coding. San Antonio sits in second place.

Houston earned a “momentum score” of 77 out of 100. The momentum category measured job growth for developers, rising interest in coding as measured by online searches, and growth in hackathon activity.

Here are the 10 fastest-rising U.S. metros for coding:

No. 1 Albuquerque, New Mexico
No. 2 San Antonio
No. 3 Houston
No. 4 Jacksonville, Florida
No. 5 Cape Coral, Florida
No. 6 Columbia, South Carolina
No. 7 New York City
No. 8 Salt Lake City
No. 9 North Port, Florida
No. 10 Tampa, Florida

The study analyzed the country’s 75 largest metros “to map where coding has taken hold and where it’s catching fire.” It took into account learning searches, GitHub developer density, job growth, interest in bootcamps and hackathon activity. Only 64 metros were eligible for the ranking of fastest-growing markets.

Austin tops ranking of coding capitals

Coddy crowned Austin the coding capital of the country, with Houston landing at No. 24 in the ranking of the most established coding hubs. San Antonio appeared at No. 16 and Dallas at No. 22.

Here are the top 10 coding hubs:

No. 1 Austin
No. 2 San Jose, California
No. 3 Seattle
No. 4 San Francisco
No. 5 New York City
No. 6 Salt Lake City
No. 7 Denver
No. 8 San Diego
No. 9 Los Angeles
No. 10 Raleigh, North Carolina

Why do coders matter?

Without coders, cellphones, laptops, smart TVs and other devices might not work well — or at all. Coding allows people to communicate with these devices, according to ComputerScience.org.

“Since computers do not communicate like humans, coding acts as a translator,” ComputerScience.org explains. “Code converts human input into numerical sequences that computers understand.”

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