BBB trainees contribute to all aspects of our research. Our fellows, many of them Intramural Research Training Award (IRTA) recipients, have experience and interests in various biostatistical and bioinformatic areas of study, from diagnostic methods to analysis tools for high-dimensional data.
Soutik Ghosal, Ph.D., joined BBB as a visiting postdoctoral fellow in November 2018. He currently works with Zhen Chen, Ph.D., on diagnostic accuracy modeling and biomarker analysis to develop parametric and semiparametric models to assess the diagnostic capacity of biomarkers to predict abnormal birth outcomes. He earned his Ph.D. in biostatistics from the University of Louisville in 2018. His doctoral dissertation focused on multiple research areas such as spatiotemporal modeling and causal inference.
Ruijin Lu, Ph.D., is a postdoctoral visiting fellow working with Zhen Chen, Ph.D., on developing Bayesian analyzing tools for high-dimensional and/or complex-structured data. Her research focus is hidden Markov models for learning latent classes or identifying subregions that drive the data. The models are used to understand how family relationship will affect the management of a child’s type 1 diabetes and will be applied on next-generation sequencing data. She completed her Ph.D. in statistics at Virginia Polytechnic Institute and State University in 2019.