Dr. Mei Liu is currently an Assistant Professor in the Division of Medical Informatics, Department of Internal Medicine at the University of Kansas Medical Center. Dr. Liu received her Ph.D. from the University of Kansas in Computer Science. Her doctoral work focused on developing data mining and machine learning algorithms to solve dynamic biological problems such as protein interactions and function predictions. Upon graduation in 2009, she received the National Library of Medicine postdoctoral training fellowship and completed her training in Medical Informatics in the Department of Biomedical Informatics at Vanderbilt University. During that time, she worked on a variety of clinical informatics projects including the development of data mining methods to detect adverse drug reactions from electronic medical records (EMRs) and text mining methods to extract fine-grained cancer information from clinical notes.
In 2012, Dr. Liu took a faculty position with the Department of Computer Science in the New Jersey Institute of Technology (NJIT). She was among the first group of recruited faculty members intended to support NJIT's strategic plan in Big Data research. By utilizing big data from various sources, she continued to develop data mining and machine learning methods to facilitate drug safety surveillance in both pre- and post-marketing phases. In addition, she also conducts big data research in support of business intelligence such as software project risk predictions and quantitative investment.
Since arriving at the University of Kansas Medical Center in September 2014, she has been collaborating with colleagues across the schools and campuses on a variety of research topics such as medication safety and patient outcome predictive modeling.