Agnes Beaudry Investigator in Myeloma Research
Department of Biostatistics and Health Data Science, School of Medicine, Indiana University
Travis S. Johnson, PhD, MSPH, Assistant Research Professor, Department of Biostatistics and Health Data Science, Indiana University School of Medicine
I am a researcher working at the intersection of data science, medicine, and genetics. As a result, there are many research problems that interest me that are principally associated with computational analysis of biomedical data and biomedical data integration. Vast quantities of cutting-edge biomedical data are being generated in the Indianapolis area and frequently require industry-academic partnerships to generate, access, and identify relevant problems to solve. For these reasons, I believe it is imperative at Indiana University School of Medicine to work in a team science setting of diverse contributors, including clinicians, bench scientists, informaticians, data scientists, and industry partners. As a bioinformatician, my primary focus is to develop tools, generate data, and integrate disparate data types to better understand the mechanisms of human disease. Currently, I work primarily on spatial omics, single cell omics, and multi-omics. Based on these technologies, I have focused primarily on deep transfer learning methods to integrate and uncover new biological insights from the data. These novel methodologies are then applied to currently incurable diseases like multiple myeloma.