Lanjing Zhang

Dr. Lanjing Zhang has contributed extensively to the field of chemical biology and is currently a Research Professor at the Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey. With a robust academic background, she earned her MD and MS from Tongji Medical University in Wuhan, China. Her postdoctoral journey included a fellowship at the Hospital of the University of Pennsylvania, a residency at Mount Sinai School of Medicine, and a postdoctoral fellowship at the University of Michigan Medical School, which collectively honed her expertise in clinical and research settings. Dr. Zhang's research interests are diverse and cutting-edge, focusing on the integration of AI and machine learning methodologies in clinical epidemiology. She is particularly interested in trend analysis, biomarkers, and computational biology, with a special emphasis on cancer and liver diseases. Her work in these areas aims to advance the understanding and treatment of these conditions through innovative approaches and technologies. In addition to her research, Dr. Zhang is actively involved in the academic community. She serves as an associate editor and is on the editorial boards of several prestigious peer-reviewed biomedical journals. Her role in these capacities underscores her commitment to advancing scientific knowledge and ensuring the dissemination of high-quality research. Dr. Zhang is also a sought-after grant reviewer for both domestic and international funding agencies. Her insights and expertise are invaluable in evaluating research proposals, ensuring that funding is allocated to projects with the potential to make significant contributions to the field of biomedical sciences. Throughout her career, Dr. Zhang has been dedicated to mentoring the next generation of scientists, fostering an environment of collaboration and innovation. Her contributions to the field are not only evident in her research and publications but also in her commitment to education and scientific advancement. Her work continues to influence the fields of AI, machine learning, and computational biology, making significant strides in understanding complex diseases and improving patient outcomes. Dr. Zhang's dedication to her research and her role in the scientific community make her a leading figure in her field.