MD Anderson’s goal with the new Institute for Data Science in Oncology is to advance collaborative projects that will bring the power of data science to every decision made at the hospital. Photo via mdanderson.org

The University of Texas MD Anderson Cancer Center is one step closer to ending cancer thanks to its new institute that's focused on data science.

MD Anderson’s goal with the new Institute for Data Science in Oncology (IDSO) is to advance collaborative projects that will bring the power of data science to every decision made at the hospital. And now, the IDSO has announced its inaugural cohort of 33 scientists, clinicians, and staff that will bring it to life, joining the already appointed leadership and focus area co-leads.

“By engaging diverse expertise across all of our mission areas, we will enhance the rich and productive data science ecosystem at MD Anderson to deliver transformational impact for patients,” David Jaffray, Ph.D., director of IDSO and chief technology and digital officer at MD Anderson, says in a press release.

The focus areas for the IDSO are quantitative pathology and medical imaging; single-cell analytics; computational modeling for precision medicine; decision analytics for health; and safety, quality, and access.

The IDSO Affiliates, as they are known, are a mix of existing contributors to the IDSO and team members who were recruited specifically for their expertise in data science. The affiliates were chosen to fulfill a two-year term, during which they will focus on IDSO projects related to the focus areas above. The diverse roster of professionals includes:

“Our affiliates bring expertise, perspectives and commitment from across the institution to foster impactful data science in order to tackle the most urgent needs of our patients and their families,” said Caroline Chung, M.D., director of Data Science Development and Implementation for IDSO and chief data officer at MD Anderson. “People and community are at the heart of our efforts, and establishing the IDSO Affiliates is an exciting step in growing the most impactful ecosystem for data science in the world.”

Aziz Gilani, managing director at Mercury, joins the Houston Innovators Podcast. Photo via LinkedIn

Houston investor on SaaS investing and cracking product-market fit

Houston innovators podcast episode 230

Aziz Gilani's career in tech dates back to when he'd ride his bike from Clear Lake High School to a local tech organization that was digitizing manuals from mission control. After years working on every side of the equation of software technology, he's in the driver's seat at a local venture capital firm deploying funding into innovative software businesses.

As managing director at Mercury, the firm he's been at since 2008, Gilani looks for promising startups within the software-as-a-service space — everything from cloud computing and data science and beyond.

"Once a year at Mercury, we sit down with our partners and talk about the next investment cycle and the focuses we have for what makes companies stand out," Gilani says on the Houston Innovators Podcast. "The current software investment cycle is very focused on companies that have truly achieved product-market fit and are showing large customer adoption."



An example of this type of company is Houston-based RepeatMD, which raised a $50 million series A round last November. Mercury's Fund V, which closed at an oversubscribed $160 million, contributed to RepeatMD's round.

"While looking at that investment, it really made me re-calibrate a lot of my thoughts in terms what product-market fit meant," Gilani says. "At RepeatMD, we had customers that were so eager for the service that they were literally buying into products while we were still making them."

Gilani says he's focused on finding more of these high-growth companies to add to Mercury's portfolio amidst what, admittedly, has been a tough time for venture capital. But 2024 has been looking better for those fundraising.

"We've some potential for improvement," Gilani says. "But overall, the environment is constrained, interest rates haven't budged, and we've seen some potential for IPO activity."

Gilani shares more insight into his investment thesis, what areas of tech he's been focused on recently, and how Houston has developed as an ecosystem on the podcast.

Blue People has named Luis Arregoces as the company’s first chief artificial intelligence officer. Photo courtesy of Blue People

Houston software shop bets on AI with new C-suite member

eyes on AI

A Houston-based software company has named its first chief artificial intelligence officer.

Blue People has named Luis Arregoces as the company’s CAIO. With 20 years of experience, Arregoces has led AI projects for global Fortune 100 companies in various industries.

He has a Ph.D. in Economics from the University of New Mexico and is an adjunct professor in Statistics and Data Science at the University of Houston. He previously led the Applied Intelligence and Data Science at Accenture's Innovation Hub.

“We are beyond excited to have Luis on board,” Alfredo Arvide, chief innovation officer of Blue People, says in a news release. “His leadership and vision will allow Blue People to help clients and C-level executives develop AI roadmaps and solutions for real-time analytics, secure data sharing, and technology-agnostic ecosystems that will shape the future of innovation across all industries in Houston and throughout the region.”

Blue People has offices in Houston, Austin, Texas, and Monterrey, México. Blue People was named People’s Choice: Startup of the Year at the 2023 Houston Innovation Awards. The company also recently participated in CodeLaunch Houston, where its startup partner won the judges' pick in the competition.

“I am honored to join Blue People and be a part of this historic moment,” Arregoces says in a news release. ”Together, we have the opportunity to shape the future of AI in Houston and beyond. AI’s versatility and transformative potential make it indispensable across all industries to drive innovations, efficiency, and competitiveness.”

A Rice University student decided to use his data science skills for good. Photo courtesy of Biokind Analytics

Houston student launches data science nonprofit to support the health care industry

analytics for good

For Alex Han, it all started with peanut butter.

Han was a high school student in Korea when he learned that the spread is a pure odorant that could be used to test smell in each hemisphere of the brain—issues on the left side was thought to be a predictor for Alzheimer’s disease. He later learned that the method wasn’t as airtight as previously thought, but Han was hooked. Alzheimer’s research became the teenager’s passion. While still in high school, Han began volunteering for Alzheimer’s Los Angeles, translating their brochures into Korean.

When it came time to choose a college, Han says Rice University appealed to him for many reasons.

“I loved the atmosphere. I loved the campus—it’s so beautiful. The diverse food, the people, I even liked the highway,” he says of Houston. “In Korea, everything is so close and compact. I loved the whole scenario of the city.”

A scholarship was also part of the appeal, as well as the pull of the world’s largest medical center. Han’s instincts were correct. Now, a junior at Rice, he has been working at renowned geneticist Huda Zoghbi’s Baylor College of Medicine lab for almost two years.

But dividing his obligations between full-time studies and his wet lab position wasn’t enough to keep Han’s active mind occupied. Last May, the statistics and biochemistry student began another endeavor that uses both his specialties. It was then that he founded Biokind Analytics. The nonprofit was designed to explore how data science can support health care nonprofits.

Han reached out to Alzheimer’s Los Angeles to offer his data analysis services on a volunteer basis and was shocked that the association had never considered it before.

“I was really surprised—even small stores and restaurants use statistics to boost their profits. [Alzheimer’s Los Angeles] receive a couple million dollars every year in donations. They have data stores but hadn’t really capitalized yet in the area of analytics.”

Han, along with a small team of Rice students, including vice president Zac Andrews and development director Masha Zaitsev, made Alzheimer’s Los Angeles a pet project, analyzing geospatial trends in its donorship and interpreting the past year’s donation trends. “We wanted to see if the demand was the same in Houston. We found that this pattern was consistent. A lot of nonprofits are willing to have us analyze the data sets they’ve already been tracking and provide data analysis for healthcare nonprofits.”

Less than a year after Han established Biokind Analytics, the 501(c)(3) already has seven chapters on college campuses around the country. From UC Davis and San Diego in the West to Brown University and the University of Virginia on the East Coast, the data science students have helped a diverse range of medical nonprofits, mostly based in the Houston area. They run the gamut from ALS Association of Texas to Nora’s Home, which serves organ failure and transplant patients.

Biokind Analytics has now completed seven projects and analyzed $100 million in funds. Each student group includes four to six members, mostly majors in the worlds of statistics, data science, and biochemistry, all working with the help of faculty advisors. At a total of about 35 students nationwide, Han says that he’s dedicated to growing at a steady pace to avoid potentially expanding too fast, too soon.

Another question for the future is what will happen to Biokind Analytics when Han completes his undergraduate studies in 2024. He plans to continue his medical studies with the goal of one day becoming a physician specializing in Alzheimer’s who uses data analytics to aid in patient care. But no matter how active Han continues to be in the nonprofit he started, his stated attachment to the cause and a growing group of both student leaders and healthcare associations eager for their services are sure to keep Biokind Analytics active long after graduation.

Let's talk about dark data — what it means and how to navigate it. Graphic byMiguel Tovar/University of Houston

Houston expert: Navigating dark data within research and innovation

houston voices

Is it necessary to share ALL your data? Is transparency a good thing or does it make researchers “vulnerable,” as author Nathan Schneider suggests in the Chronicle of Higher Education article, “Why Researchers Shouldn’t Share All Their Data.”

Dark Data Defined

Dark data is defined as the universe of information an organization collects, processes and stores – oftentimes for compliance reasons. Dark data never makes it to the official publication part of the project. According to the Gartner Glossary, “storing and securing data typically incurs more expense (and sometimes greater risk) than value.”

This topic is reminiscent of the file drawer effect, a phenomenon which reflects the influence of the results of a study on whether or not the study is published. Negative results can be just as important as hypotheses that are proven.

Publication bias and the need to only publish positive research that supports the PI’s hypothesis, it can be argued, is not good science. According to an article in the Indian Journal of Anaesthesia, authors Priscilla Joys Nagarajan, et al., wrote: “It is speculated that every significant result in the published world has 19 non-significant counterparts in file drawers.” That’s one definition of dark data.

Total Transparency

But what to do with all your excess information that did not make it to publication, most likely because of various constraints? Should everything, meaning every little tidbit, be readily available to the research community?

Schneider doesn’t think it should be. In his article, he writes that he hides some findings in a paper notebook or behind a password, and he keeps interviews and transcripts offline altogether to protect his sources.

Open-source

Open-source software communities tend to regard total transparency as inherently good. What are the advantages of total transparency? You may make connections between projects that you wouldn’t have otherwise. You can easily reproduce a peer’s experiment. You can even become more meticulous in your note-taking and experimental methods since you know it’s not private information. Similarly, journalists will recognize this thought pattern as the recent, popular call to engage in “open journalism.” Essentially, an author’s entire writing and editing process can be recorded, step by step.

TMI

This trend has led researchers to open-source programs like Jupyter and GitHub. Open-source programs detail every change that occurs along a project’s timeline. Is unorganized, excessive amounts of unpublishable data really what transparency means? Or does it confuse those looking for meaningful research that is meticulously curated?

The Big Idea

And what about the “vulnerability” claim? Sharing every edit and every new direction taken opens a scientist up to scoffers and harassment, even. Dark data in industry even involves publishing salaries, which can feel unfair to underrepresented, marginalized populations.

In Model View Culture, Ellen Marie Dash wrote: “Let’s give safety and consent the absolute highest priority, with openness and transparency prioritized explicitly below those. This means digging deep, properly articulating in detail what problems you are trying to solve with openness and transparency, and handling them individually or in smaller groups.”

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

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 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.

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

“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.”

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 University's edtech company receives $90M to lead NSF research hub

major collaboration

An educational technology company based out of Rice University has received $90 million to create and lead a research and development hub for inclusive learning and education research. It's the largest research award in the history of the university.

OpenStax received the grant funding from the U.S. National Science Foundation for a five-year project create the R&D hub called SafeInsights, which "will enable extensive, long-term research on the predictors of effective learning while protecting student privacy," reads a news release from Rice. It's the NSF's largest single investment commitment to national sale education R&D infrastructure.

“We are thrilled to announce an investment of $90 million in SafeInsights, marking a significant step forward in our commitment to advancing scientific research in STEM education,” NSF Director Sethuraman Panchanathan says in the release. “There is an urgent need for research-informed strategies capable of transforming educational systems, empowering our nation’s workforce and propelling discoveries in the science of learning.

"By investing in cutting-edge infrastructure and fostering collaboration among researchers and educators, we are paving the way for transformative discoveries and equitable opportunities for learners across the nation.”

SafeInsights is funded through NSF’s Mid-scale Research Infrastructure-2 (Mid-scale RI-2) program and will act as a central hub for 80 partners and collaborating institutions.

“SafeInsights represents a pivotal moment for Rice University and a testament to our nation’s commitment to educational research,” Rice President Reginald DesRoches adds. “It will accelerate student learning through studies that result in more innovative, evidence-based tools and practices.”

Richard Baraniuk, who founded OpenStax and is a Rice professor, will lead SafeInsights. He says he hopes the initiative will allow progress to be made for students learning in various contexts.

“Learning is complex," Baraniuk says in the release. "Research can tackle this complexity and help get the right tools into the hands of educators and students, but to do so, we need reliable information on how students learn. Just as progress in health care research sparked stunning advances in personalized medicine, we need similar precision in education to support all students, particularly those from underrepresented and low-income backgrounds.”

OpenStax awarded $90M to lead NSF research hub for transformational learning and education researchwww.youtube.com

2 Houston startups selected by US military for geothermal projects

hot new recruits

Two clean energy companies in Houston have been recruited for geothermal projects at U.S. military installations.

Fervo Energy is exploring the potential for a geothermal energy system at Naval Air Station Fallon in Nevada.

Meanwhile, Sage Geosystems is working on an exploratory geothermal project for the Army’s Fort Bliss post in Texas. The Bliss project is the third U.S. Department of Defense geothermal initiative in the Lone Star State.

“Energy resilience for the U.S. military is essential in an increasingly digital and electric world, and we are pleased to help the U.S. Army and [the Defense Innovation Unit] to support energy resilience at Fort Bliss,” Cindy Taff, CEO of Sage, says in a news release.

A spokeswoman for Fervo declined to comment.

Andy Sabin, director of the Navy’s Geothermal Program Office, says in a military news release that previous geothermal exploration efforts indicate the Fallon facility “is ideally suited for enhanced geothermal systems to be deployed onsite.”

As for the Fort Bliss project, Michael Jones, a project director in the Army Office of Energy Initiatives, says it’ll combine geothermal technology with innovations from the oil and gas sector.

“This initiative adds to the momentum of Texas as a leader in the ‘geothermal anywhere’ revolution, leveraging the robust oil and gas industry profile in the state,” says Ken Wisian, associate director of the Environmental Division at the U.S. Bureau of Economic Geology.

The Department of Defense kicked off its geothermal initiative in September 2023. Specifically, the Army, Navy, and Defense Innovation Unit launched four exploratory geothermal projects at three U.S. military installations.

One of the three installations is the Air Force’s Joint Base San Antonio. Canada-based geothermal company Eavor is leading the San Antonio project.

Another geothermal company, Atlanta-based Teverra, was tapped for an exploratory geothermal project at the Army’s Fort Wainwright in Alaska. Teverra maintains an office in Houston.

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This article originally ran on EnergyCapital.