Here's what student-founded companies won big at this annual competition. Photo courtesy of Rice University

Five startups founded by Rice University students pitched their companies this week — and walked away with more than $100,000 in prizes.

The H. Albert Napier Rice Launch Challenge, or NRLC, is an annual competition that selects a small group of student-founded startups from Rice University. The program, which is open to undergraduate, graduate, and MBA students, concluded on April 19 and doled out several investment prizes to the finalists, which were named earlier this month.

Here's what each finalist walked away with this year:

First Place: Goldie

Goldie, founded by three Rice MBA students, won the first place — a $50,000 investment prize — as well as the Frank Liu Jr. Prize for Creative Innovations in Music, Fashion, & the Arts, which came with $2,500.

The company uses its algorithm-based fit finder technology to help online shoppers find their perfect fits digitally based on physical measurements and production size charts. On the other end of the transactions, Goldie lowers the 21 percent e-commerce rate of returns and increases customer lifetime value.

Founders: Viviane Nguyen, CEO and MBA ‘23; Stephanie Zhou, COO and MBA ‘23; Samantha Wong, CTO and Master's of science in Mechanical Engineering and MBA ‘22.

Second Place: Tierra Climate

Coming in second place — and securing a $25,000 prize, was Tierra Climate. The company is looking at a unique challenge within the grid-scale battery business. Normally not compensated for the clean storage work they do, these battery operators are able to be compensated on the Tierra Climate platform, where battery projects can sell verified Carbon Avoidance Offsets to corporate buyers.

Founders: Emma Konet, CTO and MBA ’24; Jacob Mansfield, CEO and Harvard MBA ‘23

Third Place: Separion

Separion claimed third place and a $15,000 prize. The company is addressing battery storage with its solution that uses brines already produced by geothermal energy and provides an environmentally friendly extraction process will supply lithium faster, purer, and greener.

Founders: Yuren Feng, CEO and Environmental Engineering PhD ‘24; Xiaochuan Huang, CTO and Environmental Engineering PhD ‘23; Ze He, COO and Chemical Engineering PhD ‘23

Audience Choice Award: Sygne Solutions

Sygne Solutions secured the $1,500 Audience Choice Award. The company has created a patent-pending technology that permanently destroys PFAS – thereby eliminating them from the environment. The process is scalable and sustainable, and targets the substances in water.

Founders: Bo Wang, Chemical Engineering PhD ‘23; Subash Kannan, MBA ‘24; Dana Vazquez, MBA ‘24; Kimberly Heck, Chemical and Biomolecular Engineering Research Scientist

Outstanding Undergraduate Award: Tidepay

Tidepay won the Outstanding Undergraduate Award and $5,000. The company is targeting the shipping industry with its HR and payroll solution that streamlines the onboarding process and helps transfer wages to their globally positioned employees’ bank accounts. The technology enables character reading technology to scan documents and verify eligibility and provides digital bank accounts and debit cards to unbanked seafarers. They also serve the seafarer by offering financial and logistical support services beyond remittance.

Founders: Andrew Pitigoi, CEO and Finance BBA ‘26; Devin Shah, CFO and Finance BBA ‘26

Additional prizes:

The program also awarded two prizes to two organizations not previously listed as finalists by the program:

  • The Parent Teacher Collaborative, founded by Jessica Faith Carter MBA ‘24, a school and community based nonprofit that aims to improve student outcomes by building strong collaborative partnerships between parents and teachers, received the RISE@Rice: The Sen Social Pioneer Prize for $1,000.
  • RiseWorks, an AI-driven music therapy for mental health needs, secured the Frank Liu Jr. Prize for Creative Innovations in Music, Fashion, & the Arts for $2,500. The company was founded by Jucheng Shen BS ‘26, Lai Peng BS ‘24, Yuan Chen BS ‘25, and Kaiyuan Wu BS ‘23.
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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”