Luminostics, which was founded out of a lab at UH, received NIH grant to produce its COVID-19 rapid antigen test. Photo courtesy of Luminostics

A Silicon Valley startup with Houston roots is helping tackle the COVID-19 pandemic with its smartphone-based coronavirus test.

Milpitas, California-based Luminostics, a University of Houston spinout, is producing millions of its Clip COVID Rapid Antigen Test for U.S. consumers after receiving emergency authorization for the product in December. The emergency approval closely followed the National Institutes of Health awarding a $26.1 million contract to Luminostics to speed up development of the coronavirus test. According to a news release from UH, Luminostics is working on an affordable next generation hardware system to reach the mass over-the-counter market at scale.

Chemical engineers and UH alumni Bala Raja, the CEO, and Andrew Paterson, the chief technology officer, began forming their company in the UH lab of Richard Willson, a professor of chemical and biomolecular engineering and professor of biochemical and biophysical sciences.

The technology developed in the UH lab aims to equip consumers with rapid self-diagnostic tests for the flu, HIV, herpes, and other conditions by detecting the presence of bacteria, viruses, small molecules, hormones, and proteins. But Raja and Paterson put that strategy on hold last year and pivoted to re-engineering their technology for COVID-19 testing. The result: the Clip COVID Rapid Antigen Test.

"When we realized that COVID wasn't just a bad flu and that it was actually gonna go crazy and affect as many people as it has, we decided that everything we've done could be very quickly repurposed to make two different tests," Raja told Inc. magazine in April.

UH alumni Andrew Paterson and Bala Raja are co-founders of Luminostics. Photo via UH.edu

As UH explains, the Clip COVID test relies on a nasal swab, a smartphone clip, and glow-in-the-dark nanoparticles to detect a coronavirus infection within 30 minutes. In the phone, an image processor measures the intensity of the luminescence signal. If the signal is strong enough, the result is positive. If it's weak, the result is negative.

"We live in a world where you can have all your basic necessities delivered to your home through an app, and yet this pandemic has exposed how far behind the diagnostics industry lags compared to consumer technology and the convenience economy," Paterson tells UH.

Funding from the National Institutes of Health, venture capital firm Khosla Ventures, investment firm Lynette Capital, and startup accelerator Y Combinator has helped support the Clip COVID Rapid Antigen Test. The startup entered the Y Combinator program in 2016, a year after Raja and Paterson established Luminostics.

In April 2020, French pharmaceutical giant Sanofi said it was exploring a collaboration with Luminostics on the COVID-19 test.

"The diagnostics industry is saturated with products that cater to big, centralized labs or testing in the doctor's office," Paterson says. "There are many applications where it does make sense to do testing in a centralized lab, but there are dozens of other applications where there should be home-tests and there are not, because few companies have tried to take on the technical and regulatory challenges with developing home-testing."

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Houston research finds race, gender ineffective predictors of employee productivity

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The Latin phrase scientia potentia est translates to “knowledge is power.”

In the world of business, there’s a school of thought that takes “knowledge is power” to an extreme. It’s called statistical discrimination theory. This framework suggests that companies should use all available information to make decisions and maximize profits, including the group characteristics of potential hires — such as race and gender — that correlate with (but do not cause) productivity.

Statistical discrimination theory suggests that if there's a choice between equally qualified candidates — let's say, a man and a woman — the hiring manager should use gender-based statistics to the company's benefit. If there's data showing that male employees typically have larger networks and more access to professional development opportunities, the hiring manager should select the male candidate, believing such information points to a more productive employee.

Recent research suggests otherwise.

A peer-reviewed study out of Rice Business and Michigan Ross undercuts the premise of statistical discrimination theory. According to researchers Diana Jue-Rajasingh (Rice Business), Felipe A. Csaszar (Michigan) and Michael Jensen (Michigan), hiring outcomes actually improve when decision-makers ignore statistics that correlate employee productivity with characteristics like race and gender.

Here's Why “Less is More”

Statistical discrimination theory assumes a correlation between individual productivity and group characteristics (e.g., race and gender). But Jue-Rajasingh and her colleagues highlight three factors that undercut that assumption:

  • Environmental uncertainty
  • Biased interpretations of productivity
  • Decision-maker inconsistency

This third factor plays the biggest role in the researchers' model. “For statistical discrimination theory to work,” Jue-Rajasingh says, “it must assume that managers are infallible and decision-making conditions are optimal.”

Indeed, when accounting for uncertainty, inconsistency and interpretive bias, the researchers found that using information about group characteristics actually reduces the accuracy of job performance predictions.

That’s because the more information you include in the decision-making process, the more complex that process becomes. Complex processes make it more difficult to navigate uncertain environments and create more space for managers to make mistakes. It seems counterintuitive, but when firms use less information and keep their processes simple, they are more accurate in predicting the productivity of their hires.

The less-is-more strategy is known as a “heuristic.” Heuristics are simple, efficient rules or mental shortcuts that help decision-makers navigate complex environments and make judgments more quickly and with less information. In the context of this study, published by Organization Science, the heuristic approach suggests that by focusing on fewer, more relevant cues, managers can make better hiring decisions.

Two Types of Information "Cues"

The “less is more” heuristic works better than statistical discrimination theory largely because decision makers are inconsistent in how they weight the available information. To factor for inconsistency, Jue-Rajasingh and her colleagues created a model that reflects the “noise” of external factors, such as a decision maker’s mood or the ambiguity of certain information.

The model breaks the decision-making process into two main components: the environment and the decision maker.

In the environment component, there are two types of information, or “cues,” about job candidates. First, there’s the unobservable, causal cue (e.g., programming ability), which directly relates to job performance. Second, there's the observable, discriminatory cue (e.g., race or gender), which doesn't affect how well someone can do the job but, because of how society has historically worked, might statistically seem connected to job skills.

Even if the decision maker knows they shouldn't rely too much on information like race or gender, they might still use it to predict productivity. But job descriptions change, contexts are unstable, and people don’t consistently consider all variables. Between the inconsistency of decision-makers and the environmental noise created by discriminatory cues, it’s ultimately counterproductive to consider this information.

The Bottom Line

Jue-Rajasingh and her colleagues find that avoiding gender- and race-based statistics improves the accuracy of job performance predictions. The fewer discriminatory cues decision-makers rely on, the less likely their process will lead to errors.

That said: With the advent of AI, it could become easier to justify statistical discrimination theory. The element of human inconsistency would be removed from the equation. But because AI is often rooted in biased data, its use in hiring must be carefully examined to prevent worsening inequity.

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This article originally ran on Rice Business Wisdom based on research by Rice University's Diana Jue-Rajasingh, Felipe A. Csaszar (Michigan) and Michael Jensen (Michigan). For more, see Csaszar, et al. “When Less is More: How Statistical Discrimination Can Decrease Predictive Accuracy.”

New downtown Houston hub opens to support energy transition innovators

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Three Houston energy innovators have cut the ribbon on a new space for energy transition innovation.

The Energy Tech Nexus, located in the historic Niels Esperson Building at the corner of Travis and Rusk Avenue, opened on September 10, which was proclaimed Energy Tech Nexus Day by the city.

Jason Ethier and Juliana Garaizar, formerly in leadership roles at Greentown Labs, teamed up with Nada Ahmed, previously headed innovation and transformation at Aker Solutions, launched ETN as a community for energy transition startups. The new hub plans to host incubation programs, provide mentorship, and open doors to funding and strategic partnerships for its members.

"We are creating more than a space for innovation," Garaizar, who serves as CEO of ETN, says in a news release. "We are crafting a community where pioneers in technology and energy converge to challenge the status quo and accelerate the shift to sustainable energy solutions."

The hub describes its goal of tackling the "trilemma" of energy security, sustainability, and affordability while also contributing to the mission of setting up Houston as the global center for energy transition. To accomplish that mission, ETN will help facilitate rapid deployment of cutting-edge energy technologies.

'The future of energy is not just being written here in Houston; it's being rewritten in more sustainable, efficient, and innovative ways," adds Garaizar. "Houston provides the perfect backdrop for this transformation, offering a rich history in energy and a forward-looking approach to its challenges and opportunities."

"We believe that a broad spectrum of perspectives is crucial in solving global energy challenges. It's about bringing everyone to the table — startups, industry leaders, and investors from all backgrounds," she continues.

Ethier, who co-hosts the Energy Tech Startups Podcast with Ahmed, says he hopes that ETN acts as a meeting place for energy transition innovators.

"By providing the right tools, access, and expertise, we are enabling these companies to leap from ideation to implementation at an unprecedented pace;" Ethier explains. "The interaction between startups and established companies within Energy Tech Nexus creates a unique synergy, fostering innovations that might otherwise take years to mature in isolation."

Payal Patel, an angel investor who has held leadership roles at Station Houston, Plug and Play Ventures, and Softeq, also contributed to launching ETN, which is collaborating with George Liu, who has over 15 years of investment banking experience across energy, cleantech and hardtech with more than $20 billion in M&A projects across his career.

In May, ETN teamed up with Impact Hub Houston to establish the Equitable Energy Transition Alliance and Lab to accelerate startup pilots for underserved communities. The initiative announced that it's won the 2024 U.S. Small Business Administration Growth Accelerator Fund Competition, or GAFC, Stage One award.

ETN celebrated its opening during the inaugural Houston Energy and Climate Week.

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This article originally ran on EnergyCapital.

Houston innovator breaks down industry silos with new bp, NASA partnership

houston innovators podcast episode 252

The recently announced partnership between bp and NASA is a match made in Houston. The energy giant, which as its United States headquarters in Houston, entered into a Space Act Agreement with NASA to combine resources and efforts with innovation in mind.

"Houston has always been known as the Space City, and we're also known as the Energy Capital of the World, but there hasn't always been collaboration," Ken Nguyen, principal technical program manager at bp, says on the Houston Innovators Podcast. "The challenges that NASA is facing is very similar to the challenges that the oil industry faces — we operate in very harsh environments, safety is the most critical aspect of our operation, and now the economic business model for NASA has changed."

Nguyen explains that while both bp and NASA are navigating similar challenges and changes within their industry, they are going about it in different ways. That's where the opportunity to collaborate comes in.

The partnership, which is still new and not fully fleshed out, will look at collaborative innovation into a few focus areas to start out with, including hydrogen storage and development, AI and general intelligence, robotics, and remote operations

"Houston continues to excel — in energy production and in space exploration — but by coming together," Nguyen says, "and for us to be able to tap into (NASA's) knowledge is tremendous. And we, within oil and gas, have a unique set of skills to blend into that with the hopes being that the city becomes this incubator for technology. The potential is there."

Nguyen oversees the implementation of new technologies at bp, and that includes software and hardtech, from cybersecurity to the digitization of the industry, which is an integral part of bp's energy transition plan, Nguyen says on the show.

"For bp, we do feel like as we transition as an international oil and gas company into an integrated energy company and we lean into the energy transition, the adoption of new technology is a critical part of making that viable for the planet and for the company," he says.

According to Nguyen, bp has invested its resources into exploring energy transition technologies like electric vehicle charging — including opening a fast-charging station at its Houston office — and renewable energy, including a solar farm about 10 miles northeast of Corpus Christi.

Another technology bp is keen on is digital twin technology, which can be crucial for enhancing safety for bp personnel and reducing emissions.

Nguyen says digital twin technology "allows us to be able to design and mirror scenarios with real-time variables, such as weather, off-take demands, and volatility."