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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Baylor College of Medicine launches VC fund to invest in biotech startups

fresh funding

Houston’s Baylor College of Medicine just unveiled a new venture capital fund that backs early-stage biotech startups—and it’s already made its first investment.

BCM Legacy Fund I, funded by philanthropies, invested an undisclosed amount in Houston biotech startup Nemea Therapeutics. Nemea, a spinout of the Baylor College of Medicine and Germany’s Lead Discovery Center, is developing an oral drug to treat metastatic triple-negative breast cancer that no longer responds to currently available therapies.

This type of aggressive cancer spreads from the breast to other areas of the body, such as the bones, liver, lungs or brain. Roughly 38,000 to 57,000 Americans are diagnosed each year with metastatic triple-negative breast cancer. One study showed about half of patients survive past the one-year mark following diagnosis and about one-third survive two years.

“Baylor College of Medicine’s laboratories produce discoveries with the potential to change patients’ lives, and too many of them stall where academic funding ends and private investment has not yet begun,” Dr. Jakub Tolar, president, CEO and executive dean of the Baylor College of Medicine, said in a press release. “The BCM Legacy Fund fills that gap, giving our scientists a path to advance their discoveries to patients.”

The National Institutes of Health awards more than $36 billion per year for biomedical research in the U.S., Baylor said. But some biomedical discoveries “never leave the starting line because they don’t yet fit the economics of venture capital,” the college said.

“The forefront of a new model”

The BCM Legacy Fund aggregates philanthropic capital from private foundations and donor-advised funds. It then invests in startups so they can move beyond that starting line and into later-stage investment rounds. The Greater Houston Community Foundation is the fund’s philanthropic partner.

“It’s exciting to be on the forefront of a new model for philanthropic capital,” said Houston entrepreneur and investor Burton Hanson, managing partner of the fund.

“Not only do we hope to solve a real problem by advancing these therapies to the patients who need them most, but we also hope this model will inspire others in the city and beyond toward philanthropic creativity and a posture of ‘I sacrifice; we win.’”

The fund expects to invest in about 15 early-stage startups over a five-year span. Baylor declined to divulge the amount of money in the fund and the size of the investment in Nemea.

Nemea’s “world-class chemistry”

Hanson oversees the Baylor fund alongside Chicago investor Steve Lehmann, who led the University of Chicago’s Innovation Fund.

Lehmann said Nemea, the fund’s first portfolio company, “has world-class chemistry, Baylor biology, and patients with no good options. Our job is to fund the experiments that carry it to the next handoff, so that industry and later-stage investors can take it from there.”

Based at Houston’s massive Texas Medical Center, Nemea plans to start clinical trials next year in collaboration with Baylor’s Lester and Sue Smith Breast Center.

Nemea previously received $9 million from the Lead Discovery Center and a $1.6 million grant from Baylor. Last year, the startup said it was seeking $25 million to $30 million in seed and Series A funding.

Debra McCoy of Houston, a former managing director at BlackRock and former partner at Bain & Co., and Paul Thomas, co-founder and CEO of Spring-based benefits manager Luscinia Health, sit on the Baylor fund’s governing board. Dr. Paul Klotman, former president, CEO and executive dean of Baylor, is a senior strategic adviser.

How does the fund find investment targets?

The Baylor Legacy Fund relies on two tools to help unearth early-stage biotech startups:

  • High-resolution “innovation maps” of research institutions. These maps surface hidden clusters of innovation, identify rising-star researchers and tie pockets of “innovation supply” at Baylor to areas of “innovation demand” in biotech.
  • AI-enhanced due diligence. AI agents assist with due diligence of early-stage biotech startups. The fund says the platform “distills the frameworks we’ve developed over a decade of teaching and investing into a flexible … diligence environment.”

MD Anderson unveils $3.4B expansion with two new Houston cancer care facilities

major expansion

The cutting edge of cancer-fighting technology and science is getting even sharper after MD Anderson announced last week that it will open two new facilities in the Texas Medical Center within the next five years. Inspiration Tower and Prism will expand MD Anderson’s annual patient load in the TMC to 250,000 annually and will incorporate a variety of new techniques.

The $3.4 billion project will add 2 million square feet to MD Anderson's TMC footprint, bringing its total campus size to 22 million square feet by 2032. Located at the corner of Fannin Street and Holcombe Boulevard, the cancer center says the two new facilities will serve as its new "front door" to the TMC.

“Every detail of these buildings, from the technology to the treatment rooms, was designed around our patients who will receive their care in them and our employees who will work in them. The facilities will serve as a physical representation of hope for the patients and their families who will walk through the doors,” Dr. Jeffrey E. Lee, president ad interim of UT MD Anderson, said in a news release. “Inspiration Tower and Prism are the future of cancer care, and we are grateful for the longstanding support and guidance we’ve received from the UT System Board of Regents to bring these projects to life. These facilities are part of the most impactful capital expansion in UT MD Anderson’s history.”

Prism is especially exciting as it will represent fully half of the linear accelerator treatment in the TMC. Linear accelerator is a radiation treatment that uses magnetically charged fields to deliver targeted external radiation therapy, like shooting cancer with a rail gun. The treatment is safer and has fewer side effects than older radiation treatments.

In addition, Prism will contain 12 MRI machines, four CT scanners, two PET-CT units, 18 radiation vaults and seven radiation simulators. Patient comfort has also been put at a premium with multiple gardens and roof overlooks.

“Every patient we treat deserves an environment that reflects the excellence of the care they receive at UT MD Anderson,” Chris McKee, executive vice president and chief strategy officer at UT MD Anderson, added in the release. “Our new facilities will be innovative, agile, adaptable and beautiful, and they will allow us to care for more patients, more effectively – in an environment that enhances healing and well-being. We are building for our future and for every patient who will be counting on us.”

Prism is slated to open in 2030.

Inspiration Tower will have 25 floors of surgical, diagnostic, and treatment services. At 1.4 million square feet, it’s currently expected to be the largest cancer-specific treatment facility in the United States. The tower will be divided into units for specific types of cancer, making it easy to integrate the advancing research being done all over Houston.

Like Prism, Inspiration Tower is specifically designed to offer comfort and reassurance, with more garden space, terraces, and beautiful scenery to ease patient distress. It is expected to open in 2032.

Tesla will pull the plug on Cybertruck production at Texas factory in 2027

Tesla Talk

Tesla’s Cybertruck, the hulking, stainless-steel pickup that inspired devotion and derision with its science-fiction looks, will cease production next year.

CEO Elon Musk announced the model’s demise Friday, November 6, with a curt post on X, his social media site, simply noting production of the vehicle “will be winding down” around the middle of 2027 at its facility outside Austin, Texas. Musk said the move was to allow increased production of its Cybercab robotaxi.

For the Cybertruck, a pet project of Musk who insisted it was Tesla’s best product, it marks an unceremonious end to one of the auto industry’s most ballyhooed debuts.

“Few vehicles in history have generated as much attention,” said Armen Hareyan, whose Torque News site covers autos. “The Cybertruck became a cultural symbol – loved, mocked and impossible to ignore.”

The Cybertruck rolled onto the scene in a dramatic unveiling in 2019, when a Tesla designer hurled a metal ball at the vehicle to demonstrate its supposedly unbreakable glass, only to see it shatter. He repeated the stunt on another window of the truck only to shatter that one, too.

Even as some critics scoffed, Musk was steadfast.

“I just wanted to make a futuristic battle tank — something that looks like it could come out of ‘Blade Runner’ or ‘Aliens’ or something like that but was also highly functional,” he told Automotive News. He called it “a better sports car than a Porsche 911” and “a better truck than an F-150.”

It struck some as the perfect vehicular reflection of the brash, convention-busting Musk.

“A really controversial vehicle unveiled by a controversial individual into a market where none of the electric trucks have been able to really capture demand,” said Spencer Penn, a former Tesla executive who left the company before the Cybertruck’s launch and now heads software developer LightSource.

Penn remembered watching the unveiling and feeling initially revolted by the sight of the Cybertruck, calling its appearance “madness.” But the more he looked at it, the more his opinion changed. He signed up for a pre-sale reservation, though ended up not getting a Cybertruck when Musk’s promises of a price tag under $40,000 went unmet and the first trucks sold for double or more. Penn called the Cybertruck part of Tesla’s adventurous spirit that drives innovation.

“Some of these bets work and some of these bets don’t,” he said.

While the decision to end Cybertruck production may be driven by sales realities, it's also a reflection of Tesla’s shift to autonomous vehicles, on which Musk is betting the company’s future.

Musk once forecast he’d make 250,000 Cybertrucks a year. Kelley Blue Book estimated Tesla sold just 20,237 of the vehicles last year, down about half from the year prior. Sales through the end of September this year were down another 28%, according to Kelley Blue Book.

If the imposing, sharp-angled, dystopian appearance of the Cybertruck weren’t enough to turn many potential buyers away, Musk did so himself by allying with a panoply of right-wing figures, most notably U.S. President Donald Trump. He alienated some customers as his image morphed from eccentric innovator to polarizing force trading his billions for political influence.

Once-passionate Tesla drivers rushed to sell off their cars, or slapped stickers on the bumper declaring, “I bought this before Elon went crazy.” Organizers staged demonstrations outside Tesla showrooms and urged investors to dump shares of the company’s stock. Anger spilled into violence, with Molotov cocktails hurled at Tesla vehicles, charging stations set ablaze, and dealerships covered in graffiti.

Lovers of the Cybertruck became targets, too, subjected to shouts of “Nazi!” and extended middle fingers.

Ross Blankenship is one of them. When he first laid eyes on the Cybertruck, he felt transported to a world from his childhood, when he would play “Halo,” the sci-fi video game. He had to have it.

“I had that sort of child in me wanting to be part of something cool that would change the future of automotive,” Blankenship said in a call from his Cybertruck as he drove through Sunnyside, Colorado. Even as Blankenship found he agreed with Musk on politics, he hated seeing a vehicle he loved turned into a political symbol. “I never bought it for any other reason than the fascination with the future technology of trucks … so that was a little heartbreaking.”

He would buy another Cybertruck again in a heartbeat, calling its end “a sad moment.”

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