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ORNL's Priya Ranjan Harnesses AI and Big Data in Breakthrough Agricultural Biotech Research

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Published on June 25, 2025
ORNL's Priya Ranjan Harnesses AI and Big Data in Breakthrough Agricultural Biotech ResearchSource: ORNL

Computational biologist Priya Ranjan is leveraging Oak Ridge National Laboratory's vast datasets to pioneer a new frontier in agriculture and biotechnology, according to an article by ORNL. Ranjan's work, situated at the intersection of high-throughput biological experiments and advanced data analysis, is reshaping how scientists approach complex biological problems and ushering in a wave of innovations that promise to bolster energy and food security.

Originally from India, Ranjan's interdisciplinary background encapsulates chemistry, biotechnology, and bioinformatics; his work has evolved from unearthing genetic drivers that facilitate the creation of biofuels to designing synthetic microbial communities aimed at enhancing crop resilience, as revealed by ORNL's report. His affiliation with the Computational and Predictive Biology group at ORNL allows him to employ artificial intelligence and predictive modeling tools to interpret and wield the power of data – these tools enable researchers to efficiently propose hypotheses, plan experiments, and predict outcomes, potentially accelerating revolutionary discoveries.

Ranjan connected with Jerry Tuskan of ORNL, who, at the time, was mapping genes to traits in poplar trees, a versatile energy crop, his voyage in the domain of computational biology has had him tackle tasks ranging from gene identification to the construction of a shared data infrastructure. As he puts it, "Chemistry to biotech to bioinformatics — that’s been the journey," Priya Ranjan told ORNL. "Very interdisciplinary, which gives me a unique perspective because each of these fields comes with a different approach to problems and how to solve them."

Moving his focus from merely interpreting data to laying down the infrastructure of the DOE Systems Biology Knowledgebase or KBase, a platform that simplifies biological data analysis and sharing for researchers across the globe, Ranjan's efforts are foundational for the scientific community; and recognizing the intricacies involved in this ecosystem, he admits, "I collect data, I organize it, I build models and I work with experimental biologists to test and refine them," while emphasizing the significance of making these resources broadly accessible through KBase. Moreover, he contributes to the harmonization of research endeavors under the DOE’s Biology and Environmental Research programs, by fostering a standardized data hub that can integrate diverse data streams from myriad initiatives, Ranjan is essentially crafting a centralized, AI-ready nexus for scientific discovery.

Within the idyllic nexus of ORNL's science-driven ambitions, Ranjan's role extends to ORNL’s Plant-Microbe Interfaces, where he is deciphering and forging lab-created 'probiotics for plants'. These engineered microbial consortia are designed to enhance plant productivity and environmental resilience, marking a profound leap toward sustainable agriculture and economic uplift. The labor of this collective intelligence, articulated by the data they mine and the hypotheses they generate, is a testament to a shared commitment of understanding nature’s language—and reshaping it in humanity's favor.