Houston researchers build life-saving decision making mathematical model with big potential

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Researchers created a mathematical model that helps transplant centers make decisions about when to move forward with a matching donor and when to wait. This work can potentially help decision making in other industries. Photo via Getty Images

To wait, or not to wait? That is the question — or at least it might be, if you need a kidney transplant.

Nearly 89,000 Americans with chronic kidney disease are on a waitlist for a new organ, and an estimated 13 people die each day while awaiting a transplant. But there are real costs to matching patients with the first donor that becomes available, just as there are equally real costs to having them wait in hopes of finding a better one.

Recently, Rice Business professor Süleyman Kerimov and colleagues at Stanford University and Northwestern University developed a mathematical model that helps clarify when it's best to match patients to donors as quickly as possible and when it's best to wait.

Their findings, which appear in two papers published in Management Science and Operations Research, respectively, could help optimize all manner of matching markets in which participants seek to connect with potential partners based on mutual compatibility — a sprawling category that encompasses everything from e-commerce platforms to labor markets that match employees with employers.

Kerimov and his colleagues focused on programs that match live kidney donors with people who need transplants. Live donors typically volunteer to give one of their kidneys to a loved one. But biological differences between a donor and their intended recipient can render the pair incompatible.

Kidney exchange programs solve this problem by swapping donors amongst different patient-donor pairs, choreographing a kind of kidney-transplant square dance aimed at finding a compatible partner for every willing donor.

In countries such as Canada and the Netherlands, kidney-matching programs perform a batch of matches every few months (called periodic policies). American programs, meanwhile, tend to perform daily matches (called greedy policies). Both models seek to produce the greatest number of high-quality transplants possible, but they each have advantages and disadvantages.

Less frequent matches in a periodic policy allow more patient-donor pairs to accumulate in the kidney exchange network, creating potential for better matches over time. But this approach risks making some patients sicker as they wait for a better match that might never appear.

Arranging feasible matches as soon as they become available in a greedy policy avoids that predicament. But it means passing up the opportunity to make a potentially better match that could represent the possibility of a longer, healthier life.

Balancing these trade-offs is tricky. There is no way of predicting precisely when a patient-donor pair with a particular set of characteristics will show up at the kidney-exchange network. And in the world of organ transplants, there are no do-overs.

Kerimov and his colleagues have constructed a mathematical model that represents a simplified version of a kidney exchange network.

Within the model, the researchers could dictate which patient-donor pairs could be matched with one another. They can also assign different values to individual matches based on the number of life years they provide. And they can establish the probability that various kinds of patient-donor pairs with particular characteristics might arrive at the network and queue up for a transplant at any given time.

Having set those parameters, the researchers applied different matching policies and compared the results. As it turns out, the answer to whether one should wait or not is: It depends.

To determine which policies generated the best outcomes — i.e., performing matches either daily or periodically — the researchers calculated the difference between the total value in life years that could possibly be generated within the network and the amount generated by a specific policy at a particular point in time. The goal was to keep that number, evocatively dubbed "all-time regret," as small as possible over both the short and long term.

In their first paper, Kerimov and his team explored a complex network in which donor kidneys could be swapped amongst three or more patient-donor pairs. When such multiway matches were possible, the cost of applying a daily-match policy turned out to be onerous. Using all available matches as quickly as possible eliminated the chance of later performing potentially higher-value matches.

Instead, the researchers found they could minimize regret by applying a periodic policy that required waiting for a certain number of patient-donor pairs to arrive before attempting to match them. The model even allowed the team to calculate precisely how long to wait between matchmaking sessions to get the best possible results.

In their second paper, however, the team looked at a simpler network in which kidneys could only be swapped between two donor-patient pairs. Here, their findings contradicted the first: Applying a daily-match policy minimized regret; a periodic matching process yielded no benefit whatsoever.

To their surprise, the researchers discovered they could design a foolproof algorithm for making two-way matches in simple networks. The algorithm employed a ranked list of possible match types; and the researchers found that no matter how many patient-donor pairs of various kinds randomly arrived at the network, the best choice was always simply to perform the highest-ranked match on the list.

In future research, Kerimov hopes to refine the model by feeding it data on real patient-donor pairs that have participated in actual kidney exchange programs. This would allow him to create a more realistic network, more accurately calculate the likelihood that particular kinds of patient-donor pairs will show up, and assign values to matches based not only on life years but also on rarity and difficulty. (Certain blood types and antibody profiles, for example, are rarer or more difficult to match than others.)

But Kerimov already suspects that in a real-world situation, the wisest course of action will be to alternate between periodic and greedy policies as circumstances dictate. In a simple region within a kidney exchange network that only allows for two-way matches, pursuing a greedy policy that involves taking the first match that appears on a fixed menu of options would be the best choice. In a more complex region that allows three-way matches, however, pursuing a periodic matching policy that involves waiting to make rarer and more difficult matches would ultimately offer more patients more years of healthy life.

The benefits of choosing flexibly between greedy and periodic policies should hold for any kind of matching market that can be represented by a network with simpler and more complex regions, such as a logistics system that matches online orders to delivery trucks or a carpooling system that matches passengers with drivers across different parts of a city.

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This article originally ran on Rice Business Wisdom and was based on research from Süleyman Kerimov, an assistant professor of management – operations management in the Jones Graduate School of Business at Rice University.

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This Halloween, consider your office costume contest or luncheon social a productive part of the day. Socialization in the office has been linked to greater creativity, according to a Rice University researcher. Getty Images

Rice University research finds that office socializing can be a pathway to innovation and creativity

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Innovation is a team sport. We know that creative workplaces represent a series of social networks, each brimming with useful ideas and expertise. And there is clearly a link between innovation within a firm and the colleagues and friends with whom employees hobnob off duty.

But how exactly does that alchemy happen? What's the relationship between creativity and the hive of direct and indirect contacts in an employee's cell phone?

A recent study by Jing Zhou of the business school, Giles Hirst of Australian National University, Daan Van Knippenberg of Erasmus University, Eric Quintane of the University of Los Andes and Cherrie Zhu of Monash University sheds new light on this. Mapping the social networks that underlie a creative workplace, the researchers showed that employee creativity rises when social networks are more diverse.

The researchers started with the premise that direct links in a network are offshoots of larger networks. The more diverse these indirect networks are, the researchers found, the more likely that innovative concepts will appear in a company's intellectual landscape.

The most efficient resources for gathering novel perspectives are networks made up of two-step "non-redundant ties"—that is, people you may not interact with directly, but with whom your direct ties do interact. These contacts are effectively the raw material employees use to come up with new ideas and ways of working. But why are these indirect networks so important? They diversify the thinking of the group, Zhou and her colleagues argue. Because these networks include individuals who are not necessarily linked, they lower the chances of groupthink or stale ideas.

To test their hypothesis, the researchers looked at the social networks of a large, state-owned pharmacy corporation in the People's Republic of China. Examining 11 divisions, each with roughly 25 sales representatives, the team studied creativity among the sales representatives. Evenly divided between men and women, the representatives were, on average, 35 years of age with approximately 10 years' of experience. Some had developed networks so large that they reached beyond the corporation's geographic territory.

The representatives' creativity manifested itself in a range of forms: new ways to promote products, strategies to cross-sell products, ideas for connecting with hard-to-access sales targets and plans for boosting client sales. The ideas included making products more visible in retail outlets and personalizing product launches to push customers to specific distributors. Because this kind of inventiveness is critical to gaining an edge, it's one of the most important tools in pharmaceutical marketing.

The researchers devised a matrix that matched sales metrics and managers' creativity rankings to the types of social networks the representatives had. The map showed clearly that a two-step, indirect network with few redundancies correlated to individual creativity. When networks were further removed than this, employee creativity was unchanged.

The implication: Firms should attend closely to the kind of social networks their workers cultivate. Not only that, it's possible to teach employees how to design networks for maximum efficiency. Persuading employees to make that effort might be another matter. Luckily, possible incentives abound, from bonuses to the satisfactions of a varied network to the simple pleasure of a more ample expense account. Executives just need to get creative in making their case.

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This story originally ran on Rice Business Wisdom.

Jing Zhou is the Mary Gibbs Jones Professor of Management and Psychology in Organizational Behavior at the Jones Graduate School of Business of Rice University.

In a recent study, a Rice Business professor found that board members actually need incentives — both short- and long-term — to act in stakeholders' best interests. Getty Images

Rice University research finds executive board members are driven by incentives

Houston voices

If you're a stockholder, you may envision your investment helmed by a benevolent, all-knowing board of directors, sitting around a long finely-grained wooden table, drinking coffee, their heads buried in PowerPoint charts as they labor to plot the best course for the company. Too often, however, you can't take for granted that a company's board will steer it wisely.

Companies choose directors because they offer rich and varied experience in the business world. Many who serve on boards, moreover, are CEOs of other corporations, or have headed big companies in the past. As of October 2018, for example, six of the 11 directors on Walmart's board and eight of 13 on AT&T's board hold CEO or CFO positions in other firms. So it's easy to assume that board members will act in the best interests of stockholders.

But in a recent study, Rice Business professor Shiva Sivaramakrishnan found that board members actually need incentives — both short- and long-term — to act in stakeholders' best interests.

Corporations usually compensate board members with stock options, grants, equity stakes, meeting fees, and cash retainers. How important is such compensation, and what sort of incentives do board members need to perform in the very best interests of a company? Sivaramakrishnan joined co-author George Drymiotes to trace how compensation impacts various aspects of board performance.

Recent literature in corporate governance has already stressed the need to give boards of directors explicit incentives in order to safeguard shareholder welfare. Some observers have even proposed requiring outside board members to hold substantial equity interests. The National Association of Corporate Directors, for example, recommended that boards pay their directors solely with cash or stock, with equity representing a substantial portion of the total, up to 100 percent.

To the extent that directors hold stock in a company, their actions are likely influenced by a variety of long-and short-term incentives. And while the literature has focused mainly on the useful long-term impact of equity awards, the consequences of short-term incentives haven't been as clear. Moreover, according to surveys, most directors view advising as their primary role. But this role also has received little attention.

To scrutinize these issues, the scholars used a simple model, which assumes the board of directors perform three roles: contracting, monitoring and consulting. The board contracts with management to provide productive input that improves a firm's performance. By monitoring management, the board improves the quality of the information conveyed to managers. By serving in a consulting role, the board makes managers more productive, which, in turn, means higher expected firm output.

This model allowed the scholars to better understand the relationship between the board of directors and the company's managers, as well as with shareholders. The former was particularly important to take into account, because conflict between a board and managers is typically unobservable and can be costly.

The results were surprising. Without short-term incentives, the researchers found, boards did not effectively fulfill their multiple roles. Long-term inducements could make a difference, they found, but only in some aspects of board performance.

While board members were better advisors when given long-term motivations, short-term incentives were better motivators for performing well in their other corporate governance roles, according to the research, which tied specific aspects of board compensation to particular board functions.

Restricted equity awards provided the necessary long-term incentives to improve the efficacy of the board's advisory role, the scholars found, but only the short-term incentives, awarding an unrestricted share or a bonus based on short-term performance, motivated conscientious monitoring.

The scholars also examined managerial misconduct. Board monitoring, they concluded, lowered the cost of preventing such wrongdoing — but only if the board had strong short-term incentives in place.

Even at the highest rungs of the corporate ladder, in other words, short-term self-interest is the greatest motivator. Maybe it's not surprising. In the corporate world, acting for one's own benefit is a given — so stockholders need to look more closely at those at the very top. Like everyone else, board directors need occasional brass rings within easy reach to do their best.

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This story originally ran on Rice Business Wisdom.

Shiva Sivaramakrishnan is the Henry Gardiner Symonds Professor in Accounting at the Jesse H. Jones Graduate School of Business at Rice University.

Keeping on track with trends is crucial to growing and developing a relationship with your customers, these Rice University researchers found. Getty Images

Rice researcher delves into the importance of trendspotting in consumer behavior

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Every business wants to read consumers' minds: what they love, what they hate. Even more, businesses crave to know about mass trends before they're visible to the naked eye.

In the past, analysts searching for trends needed to pore over a vast range of sources for marketplace indicators. The internet and social media have changed that: marketers now have access to an avalanche of real-time indicators, laden with details about the wishes hidden within customers' hearts and minds. With services such as Trendistic (which tracks individual Twitter terms), Google Insights for Search and BlogPulse, modern marketers are even privy to the real-time conversations surrounding consumers' desires.

Now, imagine being able to analyze all this data across large panels of time – then distilling it so well that you could identify marketing trends quickly, accurately and quantitatively.

Rice Business professor Wagner A. Kamakura and Rex Y. Du of the University of Houston set out to create a model that makes this possible. Because both quantitative and qualitative trendspotting are exploratory endeavors, Kamakura notes, both types of research can yield results that are broad but also inaccurate. To remedy this, Kamakura and Du devised a new model for quickly and accurately refining market data into trend patterns.

Kamakura and Du's model entails taking five simple steps to analyze gathered data using a quantitative method. By following this process of refining the data tens or hundreds of times, then isolating the information into specific seasonal and non-seasonal trends or dynamic trends, researchers can generate steady trend patterns across time panels.

Here's the process:

  • First, gather individual indicators by assembling data from different sources, with the understanding that the information is interconnected. It's crucial to select the data methodically, rather than making random choices, in order to avoid subjectively preselecting irrelevant indicators and blocking out relevant ones. Done sloppily, this first step can generate misleading information.
  • Distill the data into a few common factors. The raw data might include inaccuracies, which must be filtered out to lower the risk of overreacting or noting erroneous indicators.
  • Interpret and identify common trends by understanding the causes of spikes or dips in consumer behavior. It's key to separate non-cyclical and cyclical changes, because exterior events such as holidays or weather can alter behavior.
  • Compare your analysis with previously identified trends and other variables to establish their validity and generate insights. Looking at past performance through the filter of new insights can offer managers important guidance.
  • Project the trend lines you've identified using historical tracking data and their modeling framework. These trend lines can then be extrapolated into near-future projections, allowing managers to better position themselves and be proactive trying to reverse unfavorable trends and leverage positive ones.

It's important to bear in mind that the indicators used for quantitative trendspotting are prone to random and systematic errors, Kamakura writes. The model he devised, however, can filter these errors because it keeps them from appearing across different series of time panels. The result: better ability to identify genuine movements and general trends, free from the influence of seasonal events and from random error.

It goes without saying that the information and persuasiveness offered by the internet are inevitably attended by noise. For marketers, this means that without filtering, some trends show spikes for temporary items – mere viral jolts that can skew market research.

Kamakura and Du's model helps sidestep this problem by blending available historical data analysis, large time panels and movements while avoiding errors common to more traditional methods. For managers longing to glimpse the next big thing, this analytical model can reveal emerging consumer movements with clarity – just as they're becoming the future.

(For the mathematically inclined, and those comfortable with Excel macros and Add-Ins, who want to try trendspotting on their own tracking data, Kamakura's Analytical Tools for Excel (KATE) can be downloaded for free at http://wak2.web.rice.edu/bio/Kamakura_Analytic_Tools.html.)

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This article originally appeared on Rice Business Wisdom.

Wagner A. Kamakura is Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

As more and more offices have remote workers, managers need to know how to measure virtual employee success. Getty Images

Rice University research calls for more ways to measure virtual employee success

Houston Voices

Managers are always hunting for ways to measure performance. They need to know what's succeeding and what's not so they can make adjustments and improve a work team's output. This has led to countless research that looks at ways to measure and boost employee performance. Indeed, one recent study showed there were more than 130 models and frameworks for measuring team performance in the workplace.

But how we do business has been changing in the last two decades. Communication technology and information sharing increasingly has decentralized the workforce. More and more people are working remotely. Consider telecommuters, online messenger services such as Slack and customer service call centers routing their calls across the world. What forces determine how these virtual teams function?

In a recent study, Rice Business professor Utpal Dholakia and colleagues René Algesheimer of the University of Zurich and Călin Gurău of GSCM-Montpellier Business School looked closely at what motivates remote teams and how to measure what they do. They began with a standard input-mediator-output-input model (IMOI) to measure team characteristics such as size, tenure, communication, strategic consensus and intentions. Then they dove further, including expected team performance, actual team performance and past team performance into the equations. Finally, they analyzed the influence of motivational (desire to perform) and rational (shared goals) dimensions.

To conduct the research, Dholakia, Algesheimer and Gurău analyzed professional computer gaming teams, reasoning that such teams work together in highly competitive environments. The gamers' lack of organizational context, meanwhile, eliminated any bias that could be linked to traditional institutional structures such as culture and goals. There was a downside, however: the gaming teams didn't fully replicate the situation of virtual teams in business organizations.

Still, by choosing the European Electronic Sports League (ESL) the researchers were able to pick from more than half a million teams that play in excess of 4 million matches a year. In the end, 606 teams participated in the study by answering a questionnaire in the course of a year. The teams all had stable structures and specific objectives, strategies and training, just like virtual work teams. Data was also collected from the ESL database and included in the model.

The findings: most studies do not consider expected and actual team performance in their calculations. This is important because research shows a strong link between expectation and performance. Including both sets of results can help managers choose the right steps to enhance team strategy and effectiveness. (The study did not analyze issues such as trust, training, conflict resolution or leadership, areas Dholakia recommends for further research).

The framework devised by Dholakia and his colleagues gives researchers a more precise way to analyze remote or international teamwork. It also could help guide managers in examining a team's cultural diversity, and how that might affect output. In a time when the workplace is growing ever less tangible, Dholakia's model is a sturdy tool to measure what's happening out there.

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This article originally appeared on Rice Business Wisdom.

Utpal Dholakia is the George R. Brown Professor of Marketing at Jones Graduate School of Business at Rice University.

According to research done by a Rice University professor, businessmen and women are more likely to help out colleagues who attended the same university. Pexels

Rice University research finds that investors and executives are more likely to help out those from their alma mater

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Friends help each other out, right? Imagine young men or women racing down a New England playing field, effortlessly passing a lacrosse ball on their way to the goal. Now imagine some of those old friends as CEOs of large firms, and others as managers of mutual funds. Do they still have each other's backs?

That was the question Rice Business Professor Alexander W. Butler explored in a recent paper. What he found makes perfect sense given human nature, and raises serious questions about the dynamics of the financial market.

Yes, Butler and his coauthor, Umit G. Gurun of the University of Texas at Dallas, found, CEOs of publicly traded corporations and mutual fund managers from the same schools do appear to help each other out. It may be conscious or unconscious: they do what friends do the world over. But the effect on the market can be profound.

To trace the role of social connections in the world of corporate and finance, Butler and Gurun studied how mutual fund managers vote when shareholders proposed limiting executive pay. They cross-referenced these data with information about the educational background of the firms' executives and of the mutual fund managers who took part in the votes.

When voting fund managers and an executive went to the same schools, Butler found, those halcyon days at A&M or Wharton clearly corresponded to fewer votes to limit executive pay.

Now, this may reflect all kinds of things. Shared school ties could mean fund managers have more relevant information about a firm's CEO and his or her value. The shared culture and vocabulary of a school environment might ease information flow between a CEO and managers. But there is also another possibility: Perhaps the value a mutual fund manager places on a CEO's firm has nothing to do with the company's actual value. The manager may simply support him because he's a school friend.

CEOs weren't the only ones to benefit from old-school ties. Well-connected investors prospered too. When a fund manager shared a school background with a given CEO, Butler found, the fund outperformed funds whose managers weren't part of the network. For investors as well as CEOs, in other words, school ties with decision makers at mutual funds raised the chances of a winning outcome.

So a shared school or social background leads to well-paid CEOs, successful fund managers and happy investors. What's not to celebrate?

Plenty, it turns out.

The better trading outcomes of well-connected mutual fund managers have implications far beyond one happy set of shareholders. The Securities and Exchange Commission protects a level playing field because it's in the public interest for the U.S. financial markets to be liquid.

Consumers buy and sell stocks more easily when they are confident that a product's price is reasonably close to its actual value. When one party seems to know more about a stock – perhaps through friendship with the CEO – other investors may lose confidence that they can assess the value of stocks as accurately. When too many consumers distrust the market, liquidity drops. Fewer people buy and sell.

Think how much it easier it is to buy a used car with public resources such as Carfax, or pre-owned car certifications. In the past, a buyer had to wonder what a car seller knew but wasn't saying – or else try to buy a car from someone she already knew and trusted.

Almost everyone has a friend. Almost everyone has experienced the memories, common lingo, and wordless sense of goodwill that come from sharing a common history. Butler and Gurun's study of corporate and financial markets, however, shows how these natural instincts can disadvantage players outside the alumni circle. Shareholders may have less power to limit CEO pay. And consumers may end up less confident about the value of stocks, shaking trust in the financial markets overall. Surely, that's not what friends are for.

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This article originally appeared on Rice Business Wisdom.

Alexander W. Butler is a professor of finance at Jones Graduate School of Business at Rice University.

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Houston engineers develop breakthrough device to advance spinal cord treatment

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A team of Rice University engineers has developed an implantable probe over a hundred times smaller than the width of a hair that aims to help develop better treatments for spinal cord disease and injury.

Detailed in a recent study published in Cell Reports, the probe or sensor, known as spinalNET, is used to explore how neurons in the spinal cord process sensation and control movement, according to a statement from Rice. The research was supported by the National Institutes of Health, Rice, the California-based Salk Institute for Biological Studies, and the philanthropic Mary K. Chapman Foundation based in Oklahoma.

The soft and flexible sensor was used to record neuronal activity in freely moving mice with high resolution for multiple days. Historically, tracking this level of activity has been difficult for researchers because the spinal cord and its neurons move so much during normal activity, according to the team.

“We developed a tiny sensor, spinalNET, that records the electrical activity of spinal neurons as the subject performs normal activity without any restraint,” Yu Wu, a research scientist at Rice and lead author of the study said in a statement. “Being able to extract such knowledge is a first but important step to develop cures for millions of people suffering from spinal cord diseases.”

The team says that before now the spinal cord has been considered a "black box." But the device has already helped the team uncover new findings about the body's rhythmic motor patterns, which drive walking, breathing and chewing.

Lan Luan (from left), Yu Wu, and Chong Xie are working on the breakthrough device. Photo by Jeff Fitlow/Rice University

"Some (spinal neurons) are strongly correlated with leg movement, but surprisingly, a lot of neurons have no obvious correlation with movement,” Wu said in the statement. “This indicates that the spinal circuit controlling rhythmic movement is more complicated than we thought.”

The team said they hope to explore these findings further and aim to use the technology for additional medical purposes.

“In addition to scientific insight, we believe that as the technology evolves, it has great potential as a medical device for people with spinal cord neurological disorders and injury,” Lan Luan, an associate professor of electrical and computer engineering at Rice and a corresponding author on the study, added in the statement.

Rice researchers have developed several implantable, minimally invasive devices to address health and mental health issues.

In the spring, the university announced that the United States Department of Defense had awarded a four-year, $7.8 million grant to the Texas Heart Institute and a Rice team led by co-investigator Yaxin Wang to continue to break ground on a novel left ventricular assist device (LVAD) that could be an alternative to current devices that prevent heart transplantation.

That same month, the university shared news that Professor Jacob Robinson had published findings on minimally invasive bioelectronics for treating psychiatric conditions. The 9-millimeter device can deliver precise and programmable stimulation to the brain to help treat depression, obsessive-compulsive disorder and post-traumatic stress disorder.

Houston clean hydrogen startup to pilot tech with O&G co.

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Gold H2, a Houston-based producer of clean hydrogen, is teaming up with a major U.S.-based oil and gas company as the first step in launching a 12-month series of pilot projects.

The tentative agreement with the unnamed oil and gas company kicks off the availability of the startup’s Black 2 Gold microbial technology. The technology underpins the startup’s biotech process for converting crude oil into proprietary Gold Hydrogen.

The cleantech startup plans to sign up several oil and gas companies for the pilot program. Gold H2 says it’s been in discussions with companies in North America, Latin America, India, Eastern Europe and the Middle East.

The pilot program is aimed at demonstrating how Gold H2’s technology can transform old oil wells into hydrogen-generating assets. Gold H2, a spinout of Houston-based biotech company Cemvita, says the technology is capable of producing hydrogen that’s cheaper and cleaner than ever before.

“This business model will reshape the traditional oil and gas industry landscape by further accelerating the clean energy transition and creating new economic opportunities in areas that were previously dismissed as unviable,” Gold H2 says in a news release.

The start of the Black 2 Gold demonstrations follows the recent hiring of oil and gas industry veteran Prabhdeep Singh Sekhon as CEO.

“With the proliferation of AI, growth of data centers, and a national boom in industrial manufacturing underway, affordable … carbon-free energy is more paramount than ever,” says Rayyan Islam, co-founder and general partner at venture capital firm 8090 Industries, an investor in Gold H2. “We’re investing in Gold H2, as we know they’ll play a pivotal role in unleashing a new dawn for energy abundance in partnership with the oil industry.”

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This article originally ran on EnergyCapital.

3 Houston innovators to know this week

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Editor's note: Every week, I introduce you to a handful of Houston innovators to know recently making headlines with news of innovative technology, investment activity, and more. This week's batch includes an e-commerce startup founder, an industrial biologist, and a cellular scientist.

Omair Tariq, co-founder and CEO of Cart.com

Omair Tariq of Cart.com joins the Houston Innovators Podcast to share his confidence in Houston as the right place to scale his unicorn. Photo via Cart.com

Houston-based Cart.com, which operates a multichannel commerce platform, has secured $105 million in debt refinancing from investment manager BlackRock.

The debt refinancing follows a recent $25 million series C extension round, bringing Cart.com’s series C total to $85 million. The scaleup’s valuation now stands at $1.2 billion, making it one of the few $1 billion-plus “unicorns” in the Houston area.

Cart.com was co-founded by CEO Omair Tariq in October 2020. Read more.

Nádia Skorupa Parachin, vice president of industrial biotechnology at Cemvita

Nádia Skorupa Parachin joined Cemvita as vice president of industrial biotechnology. Photo courtesy of Cemvita

Houston-based biotech company Cemvita recently tapped two executives to help commercialize its sustainable fuel made from carbon waste.

Nádia Skorupa Parachin came aboard as vice president of industrial biotechnology, and Phil Garcia was promoted to vice president of commercialization.

Parachin most recently oversaw several projects at Boston-based biotech company Ginkjo Bioworks. She previously co-founded Brazilian biotech startup Integra Bioprocessos. Read more.

Han Xiao, associate professor of chemistry at Rice University

The funds were awarded to Han Xiao, a chemist at Rice University.

A Rice University chemist has landed a $2 million grant from the National Institute of Health for his work that aims to reprogram the genetic code and explore the role certain cells play in causing diseases like cancer and neurological disorders.

The funds were awarded to Han Xiao, the Norman Hackerman-Welch Young Investigator, associate professor of chemistry, from the NIH's Maximizing Investigators’ Research Award (MIRA) program, which supports medically focused laboratories. Xiao will use the five-year grant to advance his work on noncanonical amino acids.

“This innovative approach could revolutionize how we understand and control cellular functions,” Xiao said in the statement. Read more.

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