At The University of Texas at Arlington (UTA), researcher Xinlei (Sherry) Wang is pioneering advanced artificial intelligence models to transform the analysis of complex biomedical data. With a significant four-year, $1.28 million federal grant, Wang leads a team focused on developing statistical and deep generative models for enhanced CyTOF data interpretation. CyTOF technology enables the simultaneous scanning of thousands of individual cells, revealing detailed protein expressions crucial for understanding diseases like cancer. Wang’s team employs a Bayesian framework to create user-friendly software that simplifies data interpretation, ensuring reliable and rapid results. This approach allows scientists to uncover hidden relationships in vast biological datasets efficiently. UTA, recognized as a Carnegie R-1 institution, continually fosters innovation and research excellence, significantly impacting North Texas’s economy and student success. Wang’s contributions promise to advance biomedical research significantly, making state-of-the-art analysis accessible for wider scientific collaboration.
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