Daria Prilutsky completed her PhD degree in 2011 in Interdisciplinary Program from Ben-Gurion University, Israel, Virology and Developmental Genetics, Faculty of Health Sciences, Information Systems and Biotechnology Engineering, Faculty of Engineering. Prilutsky’s current research interests are focused on understanding molecular mechanisms of autism, focusing on a crosstalk between central nervous and immune systems and applying various computational approaches to analyze large-scale data sources. More specifically, Dr. Prilutsky is interested in development and application of robust molecular assays and computational algorithms to characterize biological systems and in vitro cellular models for diagnostic and prognostic purposes. The recent focus of her work has been to investigate whether novel computational methods of characterizing the transcriptome of primary tissue and derived cells provide an accurate way of characterizing the functional state of these cells and phenotype prediction. In collaboration with Dr. Nathan Palmer, she has demonstrated that the transcriptome of iPSC-derived neurons is a stable phenotype that can help identify pathways and mechanisms involved in disease and also predict the potential efficacy of a candidate therapeutic. The application of this approach was validated in study of Fragile X mouse model, in which gene expression signatures in primary cultures were compared to those in the whole tissue from diseased and normal animals. She is currently working on a predictive model of response to treatment in autism by integrating clinical and blood gene expression information. Outside the lab, Prilutsky enjoys exploring the fascinating world of New England fungi, gardening and spending time in the woods with her Corgi, Emma.
Trends in molecular medicine, December 24, 2013
Artificial intelligence in medicine, May 14, 2011
Analytical chemistry, May 9, 2011
Analytical chemistry, May 30, 2008