Jing Gao

Inspiring change in the area of data science and engineering, Jing Gao serves as an Associate Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. With a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, obtained in 2011, she has dedicated her career to advancing the fields of data mining and machine learning. Her research is particularly focused on educational innovation, smart transportation, and health informatics, where she seeks to harness the power of data to drive meaningful improvements. Professor Gao's work spans a wide array of topics, including information veracity analysis, multi-source data analysis, and knowledge graphs. She is deeply invested in exploring the intricacies of text mining and anomaly detection, aiming to develop models that are not only efficient but also fair and interpretable. Her interest in transfer learning and federated learning underscores her commitment to creating adaptable and robust systems that can operate across diverse environments. Beyond theoretical research, Jing Gao is passionate about applying data mining techniques to real-world challenges. Her projects often intersect with fields such as healthcare, social science, criminal justice, biology, and transportation, where she collaborates with experts to develop innovative solutions. Her work in smart transportation, for instance, seeks to optimize systems for better efficiency and safety, while her efforts in healthcare aim to improve patient outcomes through data-driven insights. Professor Gao is also an advocate for educational innovation, believing in the transformative power of technology in learning environments. She is actively involved in initiatives that leverage data to enhance educational experiences and outcomes, ensuring that the next generation of engineers and scientists are well-equipped to tackle future challenges. Her contributions to the field have been recognized through numerous publications and presentations at leading conferences. Jing Gao continues to inspire students and colleagues alike with her dedication to research excellence and her vision for a data-driven future. Her work not only advances academic knowledge but also has a tangible impact on society, reflecting her commitment to using technology for the greater good.