Houston-area researchers score $1.5M grant to develop storm response tech platform

fresh funding

OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models to support storm response decision makers, has secured an NSF grant. Photo by Eric Turnquist

Researchers from Rice University have secured a $1.5 million grant from the National Science Foundation to continue their work on improving safety and resiliency of coastal communities plagued by flooding and hazardous weather.

The Rice team of engineers and collaborators includes Jamie Padgett, Ben Hu, and Avantika Gori along with David Retchless at Texas A&M University at Galveston. The researchers are working in collaboration with the Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center and the Ken Kennedy Institute at Rice and A&M-Galveston’s Institute for a Disaster Resilient Texas.

Together, the team is developing and hopes to deploy “Open-Source Situational Awareness Framework for Equitable Multi-Hazard Impact Sensing using Responsible AI,” or OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models "to provide timely, reliable and equitable insights to emergency response organizations and communities before, during and after tropical cyclones and coastal storm events," reads a news release from Rice.

“Our goal with this project is to enable communities to better prepare for and navigate severe weather by providing better estimates of what is actually happening or might happen within the next hours or days,” Padgett, Rice’s Stanley C. Moore Professor in Engineering and chair of the Department of Civil and Environmental Engineering, says in the release. “OpenSafe.AI will take into account multiple hazards such as high-speed winds, storm surge and compound flooding and forecast their potential impact on the built environment such as transportation infrastructure performance or hazardous material spills triggered by severe storms.”

OpenSafe.AI platform will be developed to support decision makers before, during, and after a storm.

“By combining cutting-edge AI with a deep understanding of the needs of emergency responders, we aim to provide accurate, real-time information that will enable better decision-making in the face of disasters,” adds Hu, associate professor of computer science at Rice.

In the long term, OpenSafe.AI hopes to explore how the system can be applied to and scaled in other regions in need of equitable resilience to climate-driven hazards.

“Our goal is not only to develop a powerful tool for emergency response agencies along the coast but to ensure that all communities ⎯ especially the ones most vulnerable to storm-induced damage ⎯ can rely on this technology to better respond to and recover from the devastating effects of coastal storms,” adds Gori, assistant professor of civil and environmental engineering at Rice.

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This article originally ran on EnergyCapital.

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Angela Wilkins joins the Houston Innovators Podcast to discuss the intersection of data and health care. Photo courtesy

Houston data scientist joins medical device startup amid AI evolution in the sector

HOUSTON INNOVATORS PODCAST EPISODE 241

When most people hear about Houston startup Starling Medical, they might think about how much potential the medical device company has in the field of urinalysis diagnostics. But that's not quite where Angela Wilkins's head went.

Wilkins explains on the Houston Innovators Podcast that when she met the company's co-founders, Hannah McKenney and Drew Hendricks, she recognized them as very promising startup leaders taking action on a real health care problem. Starling's device can collect urine and run diagnostics right from a patient's toilet.

"It was one of those things where I just thought, 'They're going to get a bunch of data soon,'" Wilkins says. "The opportunity is just there, and I was really excited to come on and build their AI platform and the way they are going to look at data."

For about a year, Wilkins supported the startup as an adviser. Now, she's working more hands on as chief data officer as the company grows.



Wilkins, who serves as a mentor and adviser for several startups, has a 20-year career in Houston across all sides of the innovation equation, working first at Baylor College of Medicine before co-founding Mercury Data Science — now OmniScience. Most recently she served as executive director of the Ken Kennedy Institute at Rice University.

This variety in her resume makes her super connective — a benefit to all the startups she works with, she explains. The decision to transition to a startup team means she gets to work hands on in building a technology — while bringing in her experience from other institutions.

"I think I've really learned how to partner with those institutions," she says on the show. "I've really learned how to make those bridges, and that's a big challenge that startups face."

"When we talk about the Houston innovation ecosystem, it's something we should be doing better at because we have so many startups and so many places that would like to use better technology to solve problems," she continues.

Wilkins has data and artificial intelligence on the mind in everything she does, and she even serves on a committee at the state level to learn and provide feedback on how Texas should be regulating AI.

"At the end of the day, the mission is to put together a report and strategy on how we think Texas should think about AI," she explains. "It's beyond just using an algorithm, they need infrastructure."

Colorado is the first state to pass legislation surrounding AI, and Wilkins says all eyes are on how execution of that new law will go.

"We should have technology that can be double checked to make sure we're applying it in a way that's fair across all demographics. It's obvious that we should do that — it's just very hard," she says.

"Better and personalized healthcare through AI is still a hugely challenging problem that will take an army of scientists and engineers." Photo via UH.edu

Houston expert explains health care's inequity problem

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We are currently in the midst of what some have called the "wild west" of AI. Though healthcare is one of the most heavily regulated sectors, the regulation of AI in this space is still in its infancy. The rules are being written as we speak. We are playing catch-up by learning how to reap the benefits these technologies offer while minimizing any potential harms once they've already been deployed.

AI systems in healthcare exacerbate existing inequities. We've seen this play out into real-world consequences from racial bias in the American justice system and credit scoring, to gender bias in resume screening applications. Programs that are designed to bring machine "objectivity" and ease to our systems end up reproducing and upholding biases with no means of accountability.

The algorithm itself is seldom the problem. It is often the data used to program the technology that merits concern. But this is about far more than ethics and fairness. Building AI tools that take account of the whole picture of healthcare is fundamental to creating solutions that work.

The Algorithm is Only as Good as the Data

By nature of our own human systems, datasets are almost always partial and rarely ever fair. As Linda Nordling comments in a Nature article, A fairer way forward for AI in healthcare, "this revolution hinges on the data that are available for these tools to learn from, and those data mirror the unequal health system we see today."

Take, for example, the finding that Black people in US emergency rooms are 40 percent less likely to receive pain medication than are white people, and Hispanic patients are 25 percent less likely. Now, imagine the dataset these findings are based on is used to train an algorithm for an AI tool that would be used to help nurses determine if they should administer pain relief medication. These racial disparities would be reproduced and the implicit biases that uphold them would remain unquestioned, and worse, become automated.

We can attempt to improve these biases by removing the data we believe causes the bias in training, but there will still be hidden patterns that correlate with demographic data. An algorithm cannot take in the nuances of the full picture, it can only learn from patterns in the data it is presented with.

Bias Creep

Data bias creeps into healthcare in unexpected ways. Consider the fact that animal models used in laboratories across the world to discover and test new pain medications are almost entirely male. As a result, many medications, including pain medication, are not optimized for females. So, it makes sense that even common pain medications like ibuprofen and naproxen have been proven to be more effective in men than women and that women tend to experience worse side effects from pain medication than men do.

In reality, male rodents aren't perfect test subjects either. Studies have also shown that both female and male rodents' responses to pain levels differ depending on the sex of the human researcher present. The stress response elicited in rodents to the olfactory presence of a sole male researcher is enough to alter their responses to pain.

While this example may seem to be a departure from AI, it is in fact deeply connected — the current treatment choices we have access to were implicitly biased before the treatments ever made it to clinical trials. The challenge of AI equity is not a purely technical problem, but a very human one that begins with the choices that we make as scientists.

Unequal Data Leads to Unequal Benefits

In order for all of society to enjoy the many benefits that AI systems can bring to healthcare, all of society must be equally represented in the data used to train these systems. While this may sound straightforward, it's a tall order to fill.

Data from some populations don't always make it into training datasets. This can happen for a number of reasons. Some data may not be as accessible or it may not even be collected at all due to existing systemic challenges, such as a lack of access to digital technology or simply being deemed unimportant. Predictive models are created by categorizing data in a meaningful way. But because there's generally less of it, "minority" data tends to be an outlier in datasets and is often wiped out as spurious in order to create a cleaner model.

Data source matters because this detail unquestionably affects the outcome and interpretation of healthcare models. In sub-Saharan Africa, young women are diagnosed with breast cancer at a significantly higher rate. This reveals the need for AI tools and healthcare models tailored to this demographic group, as opposed to AI tools used to detect breast cancer that are only trained on mammograms from the Global North. Likewise, a growing body of work suggests that algorithms used to detect skin cancer tend to be less accurate for Black patients because they are trained mostly on images of light-skinned patients. The list goes on.

We are creating tools and systems that have the potential to revolutionize the healthcare sector, but the benefits of these developments will only reach those represented in the data.

So, what can be done?

Part of the challenge in getting bias out of data is that high volume, diverse and representative datasets are not easy to access. Training datasets that are publicly available tend to be extremely narrow, low-volume, and homogenous—they only capture a partial picture of society. At the same time, a wealth of diverse health data is captured every day in many healthcare settings, but data privacy laws make accessing these more voluminous and diverse datasets difficult.

Data protection is of course vital. Big Tech and governments do not have the best track record when it comes to the responsible use of data. However, if transparency, education, and consent for the sharing of medical data was more purposefully regulated, far more diverse and high-volume data sets could contribute to fairer representation across AI systems and result in better, more accurate results for AI-driven healthcare tools.

But data sharing and access is not a complete fix to healthcare's AI problem. Better and personalized healthcare through AI is still a hugely challenging problem that will take an army of scientists and engineers. At the end of the day, we want to teach our algorithms to make good choices but we are still figuring out what good choices should look like for ourselves.

AI presents the opportunity to bring greater personalization to healthcare, but it equally presents the risk of entrenching existing inequalities. We have the opportunity in front of us to take a considered approach to data collection, regulation, and use that will provide a fuller and fairer picture and enable the next steps for AI in healthcare.

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Angela Wilkins is the executive director of the Ken Kennedy Institute at Rice University.

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9 can't-miss Houston business and innovation events for March

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Editor's note: March is here, and that means the return of some of Houston’s signature innovation events, as well as insightful talks and a Mardi Gras block party. Here are the Houston business and innovation events you can't miss in March and how to register. Please note: this article might be updated to add more events.

March 5 – SheSpace Women’s Day Open House

Connect with like-minded women during a free day of coworking at SheSpace. And while you're there, take a break and enjoy a floral arranging class, complimentary breakfast, pop-up shops, happy hour and raffle prizes. Space is limited.

The event is Wednesday, March 5, from 9 a.m.–7 p.m. Click here to register.

March 5 — Science and the American Presidency

Hear from former presidential science advisors—Kelvin Droegemeier who served under President Trump, Neal Lane who served under President Clinton and Alondra Nelson who served under President Biden—as they discuss their experiences leading the White House Office of Science and Technology Policy and how science is used to address issues from climate change and public health to national security and economic competitiveness. An exhibit inside Baker Hall will complement the event. The Baker Institute Science and Technology Policy Program and Rice Innovation will host the talk.

This event is Wednesday, March 5, from 5:30–8 p.m. at James A. Baker Hall. Click here to register.

March 6 — Ion Block Party - Mardi Gras Edition 

Let the good times roll this week while networking with potential collaborators, mentors and investors at the Ion. Food and drink will be available while supplies last and the Ion will provide drink tickets for one free drink at Second Draught upon check-in.

This event is Thursday, March 6, from 4–7 p.m. at the Ion. Click here to register.

March 10-14 — CERAWeek 2025

The foremost annual gathering in the energy sector returns to Houston March 10-14, 2025. Themed "Moving Ahead: Energy strategies for a complex world," CERAWeek 2025 will focus on the challenges ahead for energy security, supply, and climate ambitions. More than 10,000 participants from over 2,050 companies across 80 countries will convene in Houston for this ambitious event. CERAWeek comprises three platforms: the Executive Conference, the Innovation Agora, and Partner Programs. We'll dive into comprehensive CERAWeek recommendations in future articles.

This event begins Monday, March 10. Click here to register.

March 11 — Energy Venture Day at the Ion

Preview pitches from 40-plus energy ventures competing at CERAWeek's Energy Venture Day and Pitch Competition, co-hosted by the Rice Alliance, Ion, HETI, and TEX-E. This free, fast-paced pitch event offers an alternative to the CERAWeek event, which requires an Agora pass.

This event is Tuesday, March 11, from 9 a.m.–2:30 p.m. Click here to register.

March 13 — Code4Y'allMeetup

Connect with fellow coders at Code4Y’all's meetup at the Ion. Andrew Baines, Founder of No Experience Jobs, will present "How I Built a Job Board to Help Entry-Level Tech Talent (And What I Learned)." Hear from Baines and learn lessons from job seekers.

This event is Thursday, March 13, from 6–7 p.m. Click here to register.

March 17 — Women in Innovation 

Celebrate Women's History Month with an engaging panel discussion hosted by the University of Houston's Division of Energy and Innovation. UH's Tanu Chatterji, Stacey Gorniak and Chrysa Latrick will discuss the achievements of trailblazing women across various industries, as well as share challenges and experiences. Lunch will be provided.

This event is Monday, March 17, from noon–1 p.m. at UH's Faculty Cafe. Find more information here.

March 24-28 — H-Town Roundup 2025

Celebrate innovation, entrepreneurship and collaboration this month during Houston Exponential's H-Town Roundup. During the fifth-annual free event series, previously known as Houston Tech Rodeo, attendees can expect insightful talks, workshops and networking events at venues across the city like the Ion, Greentown Labs, University of Houston and more.

This event begins Monday, March 24. See the full schedule of events here.

​March 27 — NASA Tech Talks

Every fourth Thursday of the month, NASA experts, including longtime engineer Montgomery Goforth, present on technology development challenges NASA’s Johnson Space Center and the larger aerospace community are facing and how they can be leveraged by Houston’s innovation community. Stick around after for drinks and networking at Second Draught.

This event is Thursday, March 27, from 6-7 p.m. at the Ion. Register here.

Texas startup's lunar lander aces moon touchdown with special delivery for NASA

Touchdown

A private lunar lander carrying a drill, vacuum and other experiments for NASA touched down on the moon Sunday, the latest in a string of companies looking to kickstart business on Earth's celestial neighbor ahead of astronaut missions.

Firefly Aerospace’s Blue Ghost lander descended from lunar orbit on autopilot, aiming for the slopes of an ancient volcanic dome in an impact basin on the moon’s northeastern edge of the near side.

Confirmation of successful touchdown came from the company's Mission Control outside Austin, Texas, following the action some 225,000 miles away.

“You all stuck the landing. We’re on the moon,” Firefly’s Will Coogan, chief engineer for the lander, reported.

An upright and stable landing makes Firefly — a startup founded a decade ago — the first private outfit to put a spacecraft on the moon without crashing or falling over. Even countries have faltered, with only five claiming success: Russia, the U.S., China, India and Japan.

A half hour after landing, Blue Ghost started to send back pictures from the surface, the first one a selfie somewhat obscured by the sun's glare. The second shot included the home planet, a blue dot glimmering in the blackness of space.

Two other companies’ landers are hot on Blue Ghost’s heels, with the next one expected to join it on the moon later this week.

Blue Ghost — named after a rare U.S. species of fireflies — had its size and shape going for it. The squat four-legged lander stands 6-foot-6-inch tall and 11 feet wide, providing extra stability, according to the company.

Launched in mid-January from Florida, the lander carried 10 experiments to the moon for NASA. The space agency paid $101 million for the delivery, plus $44 million for the science and tech on board. It’s the third mission under NASA’s commercial lunar delivery program, intended to ignite a lunar economy of competing private businesses while scouting around before astronauts show up later this decade.

Firefly’s Ray Allensworth said the lander skipped over hazards including boulders to land safely. Allensworth said the team continued to analyze the data to figure out the lander's exact position, but all indications suggest it landed within the 328-foot target zone in Mare Crisium.

The demos should get two weeks of run time, before lunar daytime ends and the lander shuts down.

It carried a vacuum to suck up moon dirt for analysis and a drill to measure temperature as deep as 10 feet below the surface. Also on board: a device for eliminating abrasive lunar dust — a scourge for NASA’s long-ago Apollo moonwalkers, who got it caked all over their spacesuits and equipment.

On its way to the moon, Blue Ghost beamed back exquisite pictures of the home planet. The lander continued to stun once in orbit around the moon, with detailed shots of the moon's gray pockmarked surface. At the same time, an on-board receiver tracked and acquired signals from the U.S. GPS and European Galileo constellations, an encouraging step forward in navigation for future explorers.

The landing set the stage for a fresh crush of visitors angling for a piece of lunar business.

Another lander — a tall and skinny 15-footer built and operated by Houston-based Intuitive Machines — is due to land on the moon Thursday. It’s aiming for the bottom of the moon, just 100 miles from the south pole. That’s closer to the pole than the company got last year with its first lander, which broke a leg and tipped over.

Despite the tumble, Intuitive Machines' lander put the U.S. back on the moon for the first time since NASA astronauts closed out the Apollo program in 1972.

A third lander from the Japanese company ispace is still three months from landing. It shared a rocket ride with Blue Ghost from Cape Canaveral on Jan. 15, taking a longer, windier route. Like Intuitive Machines, ispace is also attempting to land on the moon for the second time. Its first lander crashed in 2023.

The moon is littered with wreckage not only from ispace, but dozens of other failed attempts over the decades.

NASA wants to keep up a pace of two private lunar landers a year, realizing some missions will fail, said the space agency's top science officer Nicky Fox.

“It really does open up a whole new way for us to get more science to space and to the moon," Fox said.

Unlike NASA’s successful Apollo moon landings that had billions of dollars behind them and ace astronauts at the helm, private companies operate on a limited budget with robotic craft that must land on their own, said Firefly CEO Jason Kim.

Kim said everything went like clockwork.

“We got some moon dust on our boots," Kim said.

Houston startup Nap Bar pivots with VR and big plans for growth

power nap

Houston’s Khaliah Guillory takes a 30-minute nap every day. She says this is how she’s so productive.

The habit also led to the founding of her white-glove, eco-friendly rest sanctuary business, Nap Bar.

Guillory launched the luxury sleep suites company back in 2019 to offer a unique rest experience with artificial intelligence integration for working professionals, entrepreneurs and travelers who needed a place to rest, recharge and rejuvenate. The company was named a Houston Innovation Awards finalist last year.

She says naps are backed by science. And by her professional network, too.

“Once I polled and surveyed my friends, most of them said that they also took naps during their lunch break, whether it be in their office or in their car,” says Guillory, former vice president of marketing strategy at Wells Fargo. “Once they overwhelmingly agreed that they would absolutely use a dedicated place for them to take naps if I created it, I got to work, and Nap Bar was born.”

Simply put, Guillory has effectively made it acceptable and, yes, even cool for working adults to take naps.

“I played D1 basketball at the University of Central Florida and that’s really where I learned the art of a power nap and the benefits of it,” Guillory says. “And I just continued to nap throughout my corporate career. So, in November of 2018, I retired from corporate America … I just knew I had a higher calling to do something else.”

Guillory first opened up shop in Rice Village as a beta test for her novel nap idea and it took off. She soon forged strategic partnerships with organizations like UT Health, where Nap Bar provided much-needed naps to postpartum mothers.

“Nap Bar showed what the benefits of a good nap was, specifically to postpartum moms in terms of mental stressors, productivity, and things of that nature,” Guillory says.

In November 2019, Guillory moved Nap Bar to The Galleria and says the business produced revenue from day one. However, in March 2020, she was forced to shut us down due to the COVID-19 pandemic.

“I promised myself that I was not going back to corporate America, so I pivoted. I moved forward by creating a better sleep box, with a vegan pillow mist and soy-based candle. I also became a certified sleep coach. And I just kept pivoting from there, reinventing Nap Bar as a company,” she says.

One pivot included adding a virtual reality sleep experience, MetaSnooze.

“MetaSnooze is a really cool technology that offers sleep therapy and relaxation that I curated myself,” Guillory says. “Basically, the user puts on the VR headset, and it escapes them. They're transported to places all over the country. For example, they're sitting in serene environments all the while listening to these rhythmic beats that are designed to help them release and relax. Visualizations have been scientifically proven to improve one’s mental health and mental stressors.”

Guillory initially rolled out MetaSnooze in 2020 at events like South by Southwest and kept improving the experience and building her business. By February 2024, she was curating a wellness experience at The Grammy Awards.

“That was huge for us,” Guillory says. “Being able to get feedback from the celebrities, with a handful of them even inquiring where they could purchase the headset. They were excited about the future of Nap Bar, so that was really, really cool.”

The widespread interest in Nap Bar has Guillory thinking big. She aims to expand to 30 locations in three years.

“When I say that, it sounds ambitious,” says Guillory. “It is, but I come from the school of thought that if you shoot for 30 and you get 25, no one's going to shake their finger at you for doing that, right? It's really aiming towards this big, hairy, audacious goal. I learned that in corporate America. So, what we're looking to do now is raise money like crazy.”

Guillory says she’s now looking to scale the business by partnering with like-minded investors with experience in the wellness space.

She envisions locations at national and international airports, which she says offer ripe scenarios for patrons needing to recharge. Additionally, Guillory wants to build on her initial partnership with UT Health by going onsite to curate rest experiences for patients, caregivers, faculty, staff, nurses and doctors. Colleges also offer an opportunity for growth.

“We’ve done some really cool pop-ups with the University of Houston, where we brought the rest experience on campus,” Guillory says. “That means we bring a portable, full-size, organic mattress with disposable sheets, as well as our virtual reality experience.”

Nap Bar will also serve companies, office buildings, and even sports venues, according to Guillory.

“We can literally go any and everywhere,” she says. “Our collected data suggests that we’ve just got to go where sleepy people are so that they can get restorative sleep.”

From a pricing standpoint, Nap Bar’s model is a dollar a minute. Depending on where the client is, the pop-up experience is based on a day rate or a half-day rate, starting at $4,000.

Add-ons include a full-size organic mattress or hosting a masseuse or massage therapist onsite.

With the Grammys already under her belt, Guillory would like to see Nap Bar utilized at the 2028 Olympics and build partnerships with other virtual reality companies to bring its licensed MetaSnooze software to the masses.

She also sees opportunities in athletic treatment, sleep apnea, and insomnia.

“We have done several studies with proven results that MetaSnooze has reduced mental stressors and anxiety,” Guillory says. “I'm excited about what the future holds for MetaSnooze. It definitely is a game-changer … We will continue to innovate sleep or provide sleep resources and tools in a very innovative way.”

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