The Center for the Study of Complex Systems is proud to announce Tianyong Yao and Vivaan Singhvi as the recipients of the 2026 Rick Riolo Undergraduate Research Prize.
The Rick Riolo Undergraduate Research Prize was established to honor the legacy of Rick Riolo, an influential researcher, educator, and mentor in evolutionary modeling and agent-based systems. Awarded annually to two outstanding undergraduate research projects, the prize recognizes work that pushes boundaries, embraces complexity, and contributes meaningful insight across disciplines. This year’s winners exemplify that legacy.
Tianyong Yao was recognized for his project, “Nested Rhythms: Cellular Dopamine Cycles and Behavioral Sleep Patterns.” The selection committee noted:
"Tianyong submitted an excellent model of childhood sleep schedules based on biophysically relevant conditions, and was able to fit this to data to validate and make predictions about what interventions would be most successful at setting a regular sleep schedule in toddler aged children. His model was extremely clear and well motivated, and featured exceptional validation with real world data."
Vivaan Singhvi was recognized for his project, “A Scalable Trie Building Algorithm for High-Throughput Phyloanalysis of Wafer-Scale Digital Evolution Experiments.” The committee shared:
"Vivaan’s project develops a memory efficient and fast computation time algorithm to analyzing phylogenetic data from large scale evolutionary experiments. This presents a significant improvement over existing algorithms, and will help researchers perform more nuanced analyses in reasonable timeframes."
Together, these projects highlight the breadth of complex systems research—from biological modeling to computational innovation—and reflect the enduring impact of Rick Riolo’s commitment to open inquiry and exploratory thinking.
The prize, endowed by Rick’s colleagues, students, and friends, continues to support and inspire the next generation of researchers to ask bold questions, experiment with new methods, and pursue understanding beyond traditional disciplinary boundaries.
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