Collaborative life science organization selects 7 innovators for inaugural Houston cohort

chosen ones

Each innovator selected was chosen for their commitment to addressing health care challenges and their sheer brilliance in their subjects. Photo via Getty Images

A group of seven groundbreaking scientists has been chosen as the first cohort of a top-flight new program for medical innovators.

Last year, the National Institute of Health (NIH) awarded the Gulf Coast Consortium with a $4 million grant. Its use? The Research Evaluation and Commercialization Hub, known as REACH. REACH combines the powers of one of the world’s largest inter-institutional cooperatives — including eight Houston-area medical research organizations— to help accelerate fledgling innovations.

According to program manager Lacey Tezino, REACH received 31 applications over the course of a month last fall.

“They were really solid applications. I was just like, ‘Can we take all of them?’” Tezino tells InnovationMap.

The seven successful applicants were chosen through technology feedback forums led by experts in each field represented. According to Tezino, some of the industry and subject-matter experts went on to become mentors to the members of the first cohort, while others were simply too busy to contribute more of their time.

But the seven teams that were selected can rest assured that they’re in spectacular hands.

“When you are bringing a novel technology to us, I can find someone who is an expert in almost anything that you're doing within health care technology — everyone's at our fingertips. So when it comes to getting advisors, because we're in the Texas Medical Center, the network that we have in the ecosystem is so rich with health care technology, that the support that those who apply for REACH is sort of unmatched,” Tezino says.

Even more impressive, Tezino explains that there are NIH officers waiting to review the projects. For early-stage entrepreneurs, that means that they will be pushed to gain what will likely be their first NIH and SBIR (small business innovation research) grants.

“We get their plan together and then we basically put them on a platter for the NIH,” says Tezino.

Each innovator selected was chosen for their commitment to addressing health care challenges and their sheer brilliance in their subjects, says Tezino. They include:

  • Fernanda Laezza, from the University of Texas Medical Branch, who is seeking to create next-generation pain medications by developing small-molecule drugs.
  • Robert Y. Tsai, from Texas A&M University Institute for Biosciences and Technology, who is testing a medicated, mucoadhesive patch as a non-invasive treatment of oral precancers.
  • Jean X. Jiang and Johanna Webb, from Riverwalk Therapeutics in San Antonio, who are working on new treatments for metastatic cancer and fibrotic retinal diseases.
  • Nadia German, from Texas Tech University, who seeks to treat triple-negative breast cancer and neuropathic pain with novel drugs.
  • Daniel Diaz and his team at Intelligent Proteins in Houston, who are using AI tools to engineer new proteins for use in cancer treatments.
  • From Texas A&M University, Thomas Kent is developing oxidized carbon nanoparticles to treat mitochondrial diseases, including Friedreich’s ataxia.
  • Mario Escobar, from Rice University, who is advancing a novel biologic gene therapy to treat heart failure.

The REACH program lasts nine months, but before the end of that time, the GCC will have recruited and begun working with the next cohort. Interested scientists can apply for the program on a rolling basis at GCCREACH.org. Tezino says that GCC plans to work with three cohorts a year, so there are ample opportunities for qualified candidates.

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

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