Jinling Liu

Jinling Liu's innovative methodologies enhance understanding of complex biological systems through the integration of multi-omics data and advanced computational techniques. As an Assistant Professor in the Department of Epidemiology at the University of Florida, she is at the forefront of research in precision medicine, focusing on the development of probabilistic graphical models and causal inference methods to unravel the intricacies of signaling pathways. Dr. Liu earned her Ph.D. in Biology from Pennsylvania State University, where she honed her skills in systems biology and data analysis. She further expanded her expertise with an MS degree in Biomedical Informatics from the University of Pittsburgh, equipping her with a robust foundation in computational methods and big data analytics. Her research is characterized by a strong emphasis on modeling big data to enhance the precision of medical interventions. By leveraging machine learning techniques, Dr. Liu aims to predict and infer the activation states of signaling pathways, which are crucial for understanding disease mechanisms and developing targeted therapies. In her work, Dr. Liu collaborates with interdisciplinary teams to apply her findings in real-world clinical settings, striving to bridge the gap between computational biology and practical medical applications. Her contributions to the field are paving the way for more personalized and effective healthcare solutions, making significant strides in the realm of precision medicine. Dr. Liu's dedication to advancing the field of epidemiology through innovative research and teaching is evident in her commitment to mentoring the next generation of scientists. Her work not only contributes to the academic community but also holds promise for transformative impacts on public health and patient care.