Qi Li

Dr. Qi Li specializes in the dynamic fields of data management, data mining, and machine learning, with a particular focus on data integration and data quality analysis for truth discovery and crowdsourcing. As an Assistant Professor in the Computer Science Department at Iowa State University, Dr. Li is dedicated to advancing the understanding and application of these critical areas of research. Dr. Li earned his Ph.D. in Computer Science and Engineering from the State University of New York at Buffalo, where he developed a strong foundation in computational theories and practices. Following his doctoral studies, he further honed his expertise as a postdoctoral research associate at the University of Illinois at Urbana-Champaign. There, he had the privilege of working under the mentorship of Prof. Jiawei Han, a distinguished figure in the field of data mining, which significantly enriched his research perspective and capabilities. At Iowa State University, Dr. Li is actively engaged in pioneering research that addresses the challenges of data integration and quality. His work aims to develop innovative methodologies for truth discovery and effective crowdsourcing, contributing to the broader understanding of how data can be managed and utilized more efficiently and accurately. Dr. Li is committed to fostering a collaborative and intellectually stimulating environment for his research team. He is on the lookout for highly motivated Ph.D. candidates who possess a robust background in computer science, applied mathematics, or statistics. These candidates will have the opportunity to engage in cutting-edge research and contribute to projects that have the potential to make significant impacts in the field of data science. In addition to his research endeavors, Dr. Li is passionate about teaching and mentoring the next generation of computer scientists. He believes in the importance of equipping students with the skills and knowledge necessary to tackle the complex data challenges of the future. Through his courses and mentorship, he strives to inspire students to pursue excellence in their academic and professional careers. Dr. Li's contributions to the field of computer science are marked by his dedication to research excellence and his commitment to education. His work continues to influence the way data is understood and applied, making significant strides in the ever-evolving landscape of data science.