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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Houston space org to launch experiments aboard first mission into polar orbit

all aboard

Houston's Translational Research Institute for Space Health, or TRISH, will send its latest experiments into space aboard the Fram2 mission, the first all-civilian human spaceflight mission to launch over the Earth’s polar regions.

Fram2, operated by SpaceX, is targeting to launch Monday, March 31, at NASA’s Kennedy Space Center in Florida. The crew of four is expected to spend several days in polar orbit aboard the SpaceX Dragon spacecraft in low Earth orbit. TRISH’s research projects are among 22 experiments that the crew will conduct onboard.

The crew's findings will add to TRISH's Enhancing eXploration Platforms and ANalog Definition, or EXPAND, program and will be used to help enhance human health and performance during spaceflight missions, including missions to the moon and Mars, according to a release from TRISH.

“The valuable space health data that will be captured during Fram2 will advance our understanding of how humans respond and adapt to the stressors of space,” Jimmy Wu, TRISH deputy director and chief engineer and assistant professor in Baylor’s Center for Space Medicine, said in the release. “Thanks to the continued interest in furthering space health by commercial space crews, each human health research project sent into orbit brings us closer to improving crew member well-being aboard future spaceflight missions.”

The six TRISH projects on Fram2 include:

Cognitive and Physiologic Responses in Commercial Space Crew on Short-Duration Missions, led by Dr. Mathias Basner at the University of Pennsylvania Perelman School of Medicine. The crew will wear a Garmin smartwatch and a BioIntelliSense BioButton® medical grade device to track cognitive performance, including memory, spatial orientation, and attention before, during, and after the mission.
Otolith and Posture Evaluation II, led by Mark Shelhamer at Johns Hopkins University. The experiment will look at how astronauts’ eyes sense and respond to motion before and after spaceflight to better understand motion sickness in space.
REM and CAD Radiation Monitoring for Private Astronaut Spaceflight, led by Stuart George at NASA Johnson Space Center. This experiment will test space radiation exposure over the Earth’s north and south poles and how this impacts crew members.
Space Omics + BioBank, led by Richard Gibbs and Harsha Doddapaneni at Baylor College of Medicine. The experiment will use Baylor’s Human Genome Sequencing Center's Genomic Evaluation of Space Travel and Research program to gain insights from pre-flight and post-flight samples from astronauts.
Standardized research questionnaires, led by TRISH. The test asks a set of standardized research questionnaires for the crew to collect data on their sleep, personality, health history, team dynamics and immune-related symptoms.
Sensorimotor adaptation, led by TRISH. The project collects data before and after flight to understand sensorimotor abilities, change and recovery time to inform future missions to the moon.

TRISH, which is part of BCM’s Center for Space Medicine with partners Caltech and MIT, has launched experiments on numerous space missions to date, including Blue Origin's New Shepard rocket last November and Axiom Space's Ax-3 mission to the International Space Station last January.

Houston lab develops AI tool to improve neurodevelopmental diagnoses

developing news

One of the hardest parts of any medical condition is waiting for answers. Speeding up an accurate diagnosis can be a doctor’s greatest mercy to a family. A team at Baylor College of Medicine has created technology that may do exactly that.

Led by Dr. Ryan S. Dhindsa, assistant professor of pathology and immunology at Baylor and principal investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, the scientists have developed an artificial intelligence-based approach that will help doctors to identify genes tied to neurodevelopmental disorders. Their research was recently published the American Journal of Human Genetics.

According to its website, Dhindsa Lab uses “human genomics, human stem cell models, and computational biology to advance precision medicine.” The diagnoses that stem from the new computational tool could include specific types of autism spectrum disorder, epilepsy and developmental delay, disorders that often don’t come with a genetic diagnosis.

“Although researchers have made major strides identifying different genes associated with neurodevelopmental disorders, many patients with these conditions still do not receive a genetic diagnosis, indicating that there are many more genes waiting to be discovered,” Dhindsa said in a news release.

Typically, scientists must sequence the genes of many people with a diagnosis, as well as people not affected by the disorder, to find new genes associated with a particular disease or disorder. That takes time, money, and a little bit of luck. AI minimizes the need for all three, explains Dhindsa: “We used AI to find patterns among genes already linked to neurodevelopmental diseases and predict additional genes that might also be involved in these disorders.”

The models, made using patterns expressed at the single-cell level, are augmented with north of 300 additional biological features, including data on how intolerant genes are to mutations, whether they interact with other known disease-associated genes, and their functional roles in different biological pathways.

Dhindsa says that these models have exceptionally high predictive value.

“Top-ranked genes were up to two-fold or six-fold, depending on the mode of inheritance, more enriched for high-confidence neurodevelopmental disorder risk genes compared to genic intolerance metrics alone,” he said in the release. “Additionally, some top-ranking genes were 45 to 500 times more likely to be supported by the literature than lower-ranking genes.”

That means that the models may actually validate genes that haven’t yet been proven to be involved in neurodevelopmental conditions. Gene discovery done with the help of AI could possibly become the new normal for families seeking answers beyond umbrella terms like “autism spectrum disorder.”

“We hope that our models will accelerate gene discovery and patient diagnoses, and future studies will assess this possibility,” Dhindsa added.

Texas robotics co. begins new search for missing Malaysia Airlines flight 370

International News

Malaysia’s government has given final approval for a Texas-based marine robotics company to renew the search for Malaysia Airlines Flight 370, which is believed to have crashed in the southern Indian Ocean more than a decade ago.

Cabinet ministers agreed to terms and conditions for a “no-find, no-fee” contract with Texas-based Ocean Infinity to resume the seabed search operation at a new 5,800-square-mile site in the ocean, Transport Minister Anthony Loke said in a statement Wednesday. Ocean Infinity will be paid $70 million only if wreckage is discovered.

The Boeing 777 plane vanished from radar shortly after taking off on March 8, 2014, carrying 239 people, mostly Chinese nationals, on a flight from Malaysia’s capital, Kuala Lumpur, to Beijing. Satellite data showed the plane turned from its flight path and headed south to the far-southern Indian Ocean, where it is believed to have crashed.

An expensive multinational search failed to turn up any clues to its location, although debris washed ashore on the east African coast and Indian Ocean islands. A private search in 2018 by Ocean Infinity also found nothing.

The final approval for a new search came three months after Malaysia gave the nod in principle to plans for a fresh search.

Ocean Infinity CEO Oliver Punkett earlier this year reportedly said the company had improved its technology since 2018. He has said the firm is working with many experts to analyze data and had narrowed the search area to the most likely site.

Loke said his ministry will ink a contract with Ocean Infinity soon but didn’t provide details on the terms. The firm has reportedly sent a search vessel to the site and indicated that January-April is the best period for the search.

“The government is committed to continuing the search operation and providing closure for the families of the passengers of flight MH370,” he said in a statement.

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