Eric Reed, Ph.D.
Data Scientist II
Eric's research is focused on working with biomedical researchers to implement cutting-edge high-throughput profiling techniques and develop analytical approaches to better interrogate the biological questions at hand. His dissertation work encompassed advancement of large-scale transcriptomic profiling for toxicogenomic screening. This included the benchmarking scalable library preparation techniques and development of machine learning methods and software. At DISC, Eric is involved with numerous collaborative projects with researchers at Tufts University School of Medicine and Boston University School of Medicine, covering various biomedical fields, including oral cancer, aging, immunology, neurodevelopmental disorders. In this work, Eric leverages various “omics” data types, including genomics, single-cell and bulk transcriptomics, and proteomics, for biological inference, methods development, study design, and platform assessment.
Bioinformatics, Biostatistics, Cancer, Aging, Immunology, Toxicogenomics, Genomics, Transcriptomics, Proteomics