Rice University launches  engineering-led brain science and health institute

brain research

The new Rice Brain Institute brings together engineering, natural sciences and social sciences to better understand the brain. Photo courtesy Rice University.

Rice University has announced the creation of a new interdisciplinary center known as the Rice Brain Institute (RBI).

The new hub will aim to use engineering, natural sciences and social sciences to research the brain and reduce the burden of neurodegenerative, neurodevelopmental and mental health disorders.

“The Rice Brain Institute reflects Rice’s strength in collaboration without boundaries,” Rachel Kimbro, dean of the School of Social Sciences, said in a news release. “Our researchers are not only advancing fundamental science but they’re also ensuring that knowledge reaches society in ways that promote human flourishing.”

RBI researchers will work in thematic clusters focusing on neurodegeneration, mental health, brain injury and neurodevelopment. The clusters will work toward goals such as significantly improving key brain health outcomes, reducing mortality and mental health disorders and improving quality of life for patients living with brain injuries and neurodevelopmental disorders, according to Rice.

The institute will focus on “engineering-driven innovation,” rather than traditional neuroscience, to design tools that can measure, model and modulate brain activity based around Rice’s expertise in soft robotics, neuroimaging, data science and artificial intelligence—making it unique among peer organizations, according to Rice.

Additionally, RBI will be structured around three collaborative Rice “pillars”:

  • The Neuroengineering Initiative, launched in 2018, brings together neuroscience, engineering, and related fields experts
  • The Neuroscience Initiative, a new initiative that brings together cell biologists, neurobiologists, biochemists, chemists and physicists to explore fundamental mechanisms of the brain and nervous system
  • The Brain and Society Initiative, also a new initiative, considers brain research within the broader social and policy landscape

Rice’s Neuroengineering Initiative has already garnered more than $78 million in research funding, according to Rice, and has established major partnerships, like the Rice-Houston Methodist Center for Neural Systems Restoration.

“Rice is uniquely equipped to bridge and connect scientific understanding of the brain and behavior sciences with the technologies and policies that shape our world,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, added in the news release. “By uniting faculty in neuroengineering, neuroscience and psychological sciences, this interdisciplinary hub embodies the kind of bold, nimble collaboration that allows Rice to turn discovery into societal impact to save lives and enhance human flourishing.”

The formation of the RBI coincides with recent support of the Dementia Prevention Research Institute of Texas (DPRIT), which landed voter approval earlier this week and aims to make Texas the center for dementia research via brain-health tech. According to the World Economic Forum, brain disorders and mental health disorders cost the global economy an estimated $5 trillion per year and could be as high as $16 trillion by 2030.

“Few areas of research have as direct and profound an impact on human well-being as brain health,” Rice President Reginald DesRoches added in the news release. “As rates of Alzheimer’s, dementia and other neurological diseases rise in our country and around the world, universities have a responsibility to lead the discovery of solutions that preserve memory, movement and quality of life. We all know someone who has been affected by a brain-related health issue, so this research is personal to all of us.”

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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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