There's a growing need for physician-scientists who can see from both sides of the table. Miguel Tovar/University of Houston

Physician-scientists are a group of specialized researchers at the intersection of medicine and technology. Earning both medical degrees and Ph.D.s, they offer a perspective beyond the scope of clinical practice.

Three such researchers discussed how they make the connections between discovery and patient care.

Why a dual education matters

Shaun Xiaoliu Zhang, director of the Center for Nuclear Receptors and Cell Signaling at the University of Houston and M.D. Anderson professor of biology and biochemistry, knows exactly what the clinical demands are.

"I can see from the M.D. perspective, but at the same time I have a Ph.D. — I know how to design research properly," he says. "In the clinic, you're faced with reality that a patient is struggling but you don't have the tools to treat those patients. If you engage in research you can create a tool."

Zhang says clinicians know the need but may struggle to design a solution. A Ph.D., on the other hand, may only know basic research.

Renowned hormone researcher Jan-Åke Gustafsson, Robert A. Welch professor of biology and biochemistry and founding director of the Center for Nuclear Receptors and Cell Signaling, agrees.

"The dual education makes it possible for you to see which diseases are in need of more research, drugs and so on," he says.

Physician-scientists are the driving force behind many advances of modern medicine.

"The way I look at it is, practicing medicine is relatively easy but coming up with the next diagnostic device or the next treatment for a disease is way more difficult, way more challenging," says Chandra Mohan, Hugh Roy and Lillie Cranz Cullen Endowed professor of biomedical engineering at UH.

"You see patients with certain diseases, and you know there's a dire need for better diagnostics, earlier treatment, earlier diagnosis with fewer side effects," he says.

While researchers spend time primarily in the laboratory and clinical practitioners interact with patients, they both want to make an impact.

"We have made some discoveries which have led to the development of new drugs and better understanding of certain diseases," says Gustafsson. "There's a great satisfaction that it may help people to get healthy."

Traditional research brings value to a university

The synergy of this dual education makes these investigators valuable not only to academia, but also to medical science.

"I can't imagine doing translational research without medical training," Zhang says. "If you have this part without the other, you don't know where to go. With medical training, you know exactly which direction to go."

Mohan echos that assessment.

"When you start doing research there are so many questions you can answer," he says. "Sometimes there are questions which are just too basic. They're too far removed from how it will impact a patient's life. So what are the most important questions? I think questions that really make a difference in the patient's life are the most important."

Zhang notes that the National Institutes of Health has switched its funding philosophy — once focused on basic science, it now is more interested in translational research, with a direct relationship to patient health.

As physician-scientists, these "translators" of medical research are able to bridge the chasm.

Amr Elnashai, vice president/vice chancellor of research and technology transfer at UH, says physician-scientists play an important role.

"The increasing importance of deploying technology in medicine renders it essential for a progressive research university to hire medical Ph.D. holders who are in an ideal position to bridge the gap between engineering and science on the one hand, and the broad field of medicine on the other," he says.

Research groups that bring both fields together not only have a much higher probability of impacting lives by adopting the latest technology in medical applications, he adds, but they also give interdisciplinary teams greater access to specific funding pursue such solutions.

In that sense, says Elnashai, medical Ph.D. researchers play an important part of the future research university.

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This article originally appeared on the University of Houston's The Big Idea.

Nitiya Spearman is the internal communications coordinator for the UH Division of Research.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”