For scientists working with complex biological data, one of the biggest challenges often comes after the experiment is over. This is the problem Cindy Alonso-Cocuron set out to solve.

A UNT student researcher, Alonso-Cocuron spent nearly a year developing a code-based automated pipeline designed to dramatically reduce the time scientists spend processing data from potentially weeks of manual work to just a few hours.

Her project, “A Code-Based Automated Pipeline for Complex Untargeted Metabolomics Data Processing,” is one example of the innovative research taking place across UNT and the kind of student-driven discovery that was showcased at University Research Day 2026.

“Time is valuable,” Alonso-Cocuron says. “I wanted to create something that would be reliable and time efficient.”

Time Management

Untargeted metabolomics allows researchers to examine the broad range of small molecules present in a biological system, providing a comprehensive view of its metabolic activity. The approach can help scientists uncover patterns and relationships that might otherwise remain hidden.

Collecting data is only part of the process. Once samples have been analyzed, researchers must process and interpret enormous amounts of information. The analysis can require weeks of work, with differences in individual workflows potentially leading researchers working from the same dataset to reach different conclusions.

Alonso-Cocuron's project tackles this challenge by automating key steps in the data-processing workflow.

The codes repeatedly perform the same analytical steps, helping reduce variation while allowing researchers to process datasets in a matter of hours. Once the data is formatted correctly, the researcher can run the program on a laptop while continuing to work on other tasks, resulting in a more standardized and efficient approach to a process that can otherwise consume significant amounts of researchers' time.

“Growing up with scientists, I watched my parents balance multiple projects and disciplines at once. They were constantly managing different projects, deadlines, and responsibilities, and I saw firsthand how overwhelming that could become. That experience made me realize how valuable it would be to have better ways to stay organized and manage everything in one place.”

The project also demonstrates how research can cross traditional disciplinary boundaries. Alonso-Cocuron developed the code herself while working with her mentor, Christophe Cocuron, manager of UNT's BioAnalytical Facility. Cocuron helped her understand the complexities of metabolomics data processing and identify the challenges the automated workflow needed to address. Alonso-Cocuron developed coding skills while gaining a deeper understanding of the full metabolomics workflow.

From research to recognition

The work has already taken Alonso-Cocuron beyond the lab as she presented her research at multiple events, including the American Society of Plant Biologists conference, UNT Scholars' Day and the BDI Expo. At the Southern Section of the American Society of Plant Biologists conference, her work earned first place in the undergraduate poster presentation competition.

Now, her work is moving toward publication. A forthcoming paper, developed in collaboration with Ana Alonso's laboratory and postdoctoral researcher Salim Makni at Ohio State University, will demonstrate how the codes can be applied to biological samples.

Discover what comes next at University Research Day

Alonso-Cocuron's project illustrates how student research can turn a practical challenge into a solution with broader applications. Her work also reflects the innovation and problem-solving that University Research Day celebrates.

On October 1, UNT brought together students, faculty, postdoctoral scholars and research professionals to showcase discoveries, exchange ideas and explore new opportunities for collaboration. More than 700 presenters and attendees participated, with student research spanning disciplines from artificial intelligence and health to sustainable fashion and environmental conservation.

For students, research is more than an academic exercise. It is an opportunity to identify problems, develop solutions and discover where their ideas can lead. By connecting students with mentors, peers and potential collaborators, University Research Day helps create opportunities for research to advance beyond the lab and make a difference in the world.

“I realized that scientists can spend so much time just preparing and organizing their data before they can even begin analyzing it. I wanted to find a way to reduce that workload so researchers could spend more of their time actually making discoveries,” Alosno-Cocuron says.

Her work demonstrates how one student’s curiosity can lead to a solution that helps researchers work more efficiently and focus on new discoveries. Across UNT, projects like hers reflect the potential of student-driven research to address challenges, advance knowledge and create real-world impact.

As UNT’s research community continues to grow, University Research Day provides an opportunity to celebrate that progress, strengthen connections and explore what comes next. The university looks forward to building on this momentum at next year’s event, showcasing more of the people and ideas advancing research and innovation at UNT.