3 Houston innovators to know this week

who's who

This week's roundup of Houston innovators includes Veronica Wu of First Bight Ventures, BJ Schaknowski of symplr, and Mikyoung Jun of the University of Houston. Courtesy photos

Editor's note: In this week's roundup of Houston innovators to know — the first of this new year — I'm introducing you to three local innovators across industries — from health care innovation to energy — recently making headlines in Houston innovation.

Veronica Wu, founder of First Bight Ventures

Veronica Wu, who moved to Houston from Silicon Valley last year, has launched a new venture capital firm to help accelerate synthetic biology startups. Photo courtesy of First Bight Ventures

Veronica Wu is a relative newcomer to Houston. She made the move from Silicon Valley to the Bayou City in the middle of 2021. Wu has announced the launch of First Bight Ventures, a new VC firm focused exclusively on early-stage synthetic biology startups, and based right here in Houston. She plans to leverage the local market to incubate these startups locally, according to the release.

“Houston is well positioned to become a major center for synthetic biology with its existing talent, industries, and capital," she says.

Wu has over 20 years of experience in managerial positions at tech companies like Apple, Tesla, and Motorola, and she served as a founding team member of McKinsey & Company’s Greater China office's business technology practice. Click here to read more.

BJ Schaknowski, CEO of symplr

Houston-based symplr has made another strategic acquisition as it grows its software offerings to its health care clients. Image via symplr.com

Houston-based symplr, which provides software solutions for governance, risk management, and compliance and is backed by California-based Clearlake Capital Group L.P. and Massachusetts-based Charlesbank Capital Partners, announced last week that it will acquire Midas Health Analytics Solutions.

Symplr will acquire the Midas platform, which provides users with operations efficiency via data analytics, from New Jersey-based Conduent Incorporated (Nasdaq: CNDT). The deal, valued at $340 million, is expected to close in the first quarter of 2022.

"Midas Health Analytics Solutions brings actionable data and insights to help symplr's health system clients improve patient care and deliver better outcomes," says BJ Schaknowski, CEO of symplr, in a news release. "With integrated quality outcomes and machine learning-based advanced analytics, our combined compliance, quality and safety software portfolio can better predict patient specific risks, deliver population health insights, and proactively improve and support business intelligence performance further advancing symplr's mission of transforming healthcare operations." Click here to read more.

Mikyoung Jun, ConocoPhillips professor of data science at the UH College of Natural Science and Mathematics

A new UH-led program will work with energy corporations to prepare the sector's future workforce. Photo via UH.edu

The Data Science for Energy Transition project, which is funded through 2024 by a $1.49 million grant from the National Science Foundation, includes participation from UH, the University of Houston-Downtown, the University of Houston-Victoria, the University of Houston-Clear Lake, and Sam Houston State University.

At the helm of the initiative is principal investigator Mikyoung Jun, ConocoPhillips professor of data science at the UH College of Natural Science and Mathematics.

“It’s obvious that the Houston area is the capital for the energy field. We are supporting our local industries by presenting talented students from the five sponsoring universities and other Texas state universities with the essential skills to match the growing needs within those data science workforces,” Jun says in the release. “We’re planning all functions in a hybrid format so students located outside of Houston, too, can join in.” Click here to read more.

A new UH-led program will work with energy corporations to prepare the sector's future workforce. Photo via Getty Images

University of Houston leads data science collaboration to propel energy transition

seeing green

Five Texas schools have teamed up with energy industry partners to create a program to train the sectors future workforce. At the helm of the initiative is the University of Houston.

The project will begin but introducing a five-week data science camp next summer where undergraduate and master’s level students will examine data science skills already in demand — as well as the skills that will be needed in the future as the sector navigates a shift to new technologies.

The camp will encompass computer science and programming, statistics, machine learning, geophysics and earth science, public policy, and engineering, according to a news release from UH. The project’s principal investigator is Mikyoung Jun, ConocoPhillips professor of data science at the UH College of Natural Science and Mathematics.

The new program's principal investigator is Mikyoung Jun. Photo via UH.edu

Jun describes the camp as having a dual focus — both on the issue of energy transition to renewable sources as well as the traditional energy, because that's not being eradicated any time soon, she explains.

Also setting the program apart is the camp's prerequisites — or lack thereof. The program is open to majors in energy-related fields, such as data science or petroleum engineering, as well as wide-ranging fields of study, such as business, art, history, law, and more.

“The camp is not part of a degree program and its classes do not offer credits toward graduation, so students will continue to follow their own degree plan,” Jun says in the release. “Our goal with the summer camp is to give students a solid footing in data science and energy-related fields to help them focus on skills needed in data science workforces in energy-related companies in Houston and elsewhere. Although that may be their first career move, they may settle in other industries later. Good skills in data processing can make them wise hires for many technology-oriented organizations.”

Jun's four co-principal investigators include Pablo Pinto, professor at UH’s Hobby School of Public Affairs and director of the Center for Public Policy; Jiajia Sun, UH assistant professor of geophysics; Dvijesh Shastri, associate professor of computer science, UH-Downtown; and Yun Wan, professor of computer information systems and chair of the Computer Science Division, UH-Victoria. Eleven other faculty members from five schools will serve as senior personnel. The initiative's energy industry partners include Conoco Phillips, Schlumberger, Fugro, Quantico Energy Solutions, Shell, and Xecta Web Technologies.

The program's first iteration will select 40 students to participate in the camp this summer. Applications, which have not opened yet, will be made available online.

The Data Science for Energy Transition project is a collaboration between five schools. Image via UH.edu

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Rice student startup lands $1.85M to launch medical drone network

critical cargo

Students at Rice University have developed a medical cargo drone transport system to help deliver sensitive medical supplies and improve mobile healthcare efforts.

Haast Autonomous is the brainchild of graduating seniors Ege Halac, Jason Chen and Santiago Brent, who got their venture idea off the ground with help from the Liu Idea Lab for Innovation and Entrepreneurship (Lilie) Summer Venture Studio. The founders have developed the prototype at Rice’s Oshman Engineering Design Kitchen (OEDK) with fellow Rice researchers Felix Hasson, Ethan Javedan, Kenna Sanders and Caden Schmidt.

The startup has raised $1.85 million in pre-seed funding, according to Rice. The founders plan to focus on Haast full-time following graduation. They said they aim to launch pilot trials in 2027 and head to market later that year.

“We need better alternatives for a fast, safe and on-demand system of transport for life-critical cargo,” Halac said in a news release from Rice.

The Haast team has developed a custom aircraft with software that manages dispatch, routes, and chain of custody to assist in how materials move between sites in centralized medical systems. Generally, the transportation of medical supplies and materials between facilities and points of care relies on ground shipping or expensive air transport.

Haast Autonomous’ aircraft can take off and land vertically, and is designed around a mission profile of 50 to 62 miles. It can carry a payload of at least 5 pounds, with future versions intended to scale up in size. It also includes a built-in payload bay that regulates temperature, pressure, vibration and tilt to protect sensitive contents such as patient samples, antivenom or poisoning kits and radioligands or other therapies, according to Rice.

At first, the company envisioned the mission to be centered around transplants, but saw the product being best suited for a variety of operations.

“What we realized is that the platform we are building is suited for medicine, but it really underlies a much larger problem of mission-critical transport across industries,” Brent added in the news release. “We are building the fastest, most secure logistics chain for the world’s most sensitive cargo.”

Haast Autonomous was recognized at the 2026 Oshman Engineering Design Showcase and Competition, where it won Best Aerospace or Transportation Technology. It also performed well in the 2026 Napier Rice Launch Challenge.

In the future, Haast Autonomous plans to deploy a fleet of aircraft. The software will be designed to assist hospitals in requesting flights and tracking deliveries in real time.

“The drone is only part of the solution,” Chen also added in the release. “What matters is moving something from point A to point B in a way that fits into how hospitals already operate.”

Houston scientist wins prestigious Pew Scholar award for brain cancer research

standout scholar

Christina Tringides, an assistant professor of materials science and nanoengineering at Rice University, is one of 21 scientists to win a prestigious Pew Biomedical Scholar award.

She is the first faculty member from Rice to win the distinction, which provides $300,000 over four years for advances in biomedicine, according to the university. The awards are granted to researchers who are in the first few years at the assistant professor level.

In Tringides’ case, the funding will support her innovative new method of modeling glioblastoma, a common and extremely aggressive form of brain cancer. Thanks to producing its own blood supply, glioblastoma spreads quickly, weaving tendrils of blighted tissue throughout the brain. Because of this, surgery is difficult and conventional therapies ineffective.

Understanding the way glioblastoma spreads is crucial to the search for a cure. Tringides is using hydrogels that mimic the brain’s extracellular matrix. Using cultures and a microscopic labyrinth, her team can see how the cancer spreads, bonds with neurons and changes cell wall activity. Essentially, Tringides has devised an intelligence test for tumors in hopes of learning how to outsmart them.

“As cancer crawls through the maze, we can look at how it is interacting with the neurons more and more, and measure how electrical activity is changing as a result,” she said in a news release from Rice.

Examining how cancer cells grow can reveal which conditional changes slow them down. Finding ways to alter the structure of brain matter in a way that makes it inhospitable to the cancer could lead to therapies that would impede growth or even reverse it. Using her custom-made ersatz brain maze makes it easier to observe changes than it would be in a patient’s brain.

“Imaging synapses is time-intensive ⎯ it can involve large data files that are hard to visualize, but if we know that the only place where we might have a synapse is this tiny 1-by-4-by-10 micron channel, it makes it much faster and reliable to image them,” Tringides said.

Born in Ames, Iowa, Tringides received her doctorate in biophysics from Harvard before joining Rice in 2024 through a Cancer Prevention and Research Institute of Texas (CPRIT) recruitment award.

Her research was also one of the first four projects to receive research awards through the Rice Brain Institute and TMC Neuro Collaboration Seed Grant Program.

Texas residents earn 11th highest income in U.S., says 2026 study

Money Matters

A new WalletHub study comparing income disparities across America has ranked Texas residents No. 11 on the list of states with the highest earning residents in the nation.

The report, "States Where People Have the Highest Income (2026)," analyzed U.S. Census Bureau income data in all 50 states and the District of Columbia. The report evaluated the average annual income of the top five percent, the median annual household income, and the average annual income of the bottom 20 percent of residents in every state, all adjusted for the cost of living.

The report's data revealed the top five percent of Texans, the highest earners, make $520,378 on average yearly after adjusting for the cost of living. That's the seventh-highest income among the top five percent of earners nationwide.

Meanwhile, the median annual income of a Texas household is just under $76,000. The bottom 20 percent of Texas residents make $17,651 a year, the report found.

For additional context, the latest data from the Federal Reserve shows an American household's median yearly income is about $83,700. WalletHub analyst Chip Lupo also found that the highest earning 10 percent of individuals in the U.S. earn over 12 times more than those in the lowest-earning 10 percent, based on the latest Census data.

"By measuring the income of various percentiles against a state's median income, we can better identify where income disparities are more prevalent, which could help us better understand why residents of certain states struggle more to make ends meet," said Lupo.

Virginia is the state where residents earn the highest income in the U.S., WalletHub said. Based on the report's findings, the top five percent of Virginians make $545,097 on average per year after adjusting for the cost of living. The median annual income of a Virginia household comes out to $95,339, and the bottom 20 percent of residents make $19,671 annually on average.

Conversely, West Virginia is the state where people have the lowest income in the U.S. A West Virginia household makes a median annual income of $56,610, the third-lowest nationally, and the bottom 20 percent of residents make $13,260 on average per year, which is the fifth-lowest in the nation. The top five percent of West Virginians make $372,218 on average per year.

The top 10 states where residents have the highest income are:

No. 1 – Virginia
No. 2 – New York
No. 3 – New Jersey
No. 4 – Washington
No. 5 – Connecticut
No. 6 – Utah
No. 7 – Colorado
No. 8 – Minnesota
No. 9 – Illinois
No. 10 – Massachusetts

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This article originally appeared on CultureMap.com.

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