Associate Professor
Kansas State University
Majid Jaberi-Douraki, Ph.D., is an associate professor of mathematics and data science. He also is an affiliated researcher with the Johnson Cancer Research Center at Kansas State University.
Jaberi-Douraki's research broadly involves computational and quantitative modeling, elements of statistical and machine learning, AI, as well as the development of predictive models in healthcare. He also conducts research in the areas of modeling of biological and epidemiological sciences and dynamical systems.
He leads the collaboration 1Data between K-State and the University of Missouri-Kansas City. As part of the partnership, preclinical human and animal health data are cleaned and standardized and are then added to the 1data clearinghouse. Researchers at 1Data and around the world can then access and use this information to develop and test new therapeutics, drugs, and medical technologies for both humans and animals. In addition, he serves as the director of the FARAD program at K-State.
Under the 1Data environment, Jaberi-Douraki and his team developed 1DrugAssist. Currently, the program is in beta testing and is intended to serve as a platform for precision and individualized medicine. Using the demographic information of a patient with cancer or diabetes, healthcare providers or pharmacists are advised of the most appropriate therapeutic drugs for that particular patient. Jaberi is currently involved in a number of projects related to machine learning and data mining methods in medicine and healthcare, including research related to cancer and diabetes. These projects are supported and collaboratively conducted by doctors and scientists at Cleveland Clinic and Indiana University Cancer Center.