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Ben Langmead is a Professor in the Department of Computer Science at Johns Hopkins University, where he directs the Langmead Lab. His research spans computational life sciences, focusing on innovative methods for analyzing high-throughput biological datasets, thereby aiding biomedical researchers and life scientists in accessing and utilizing DNA sequencing data. Langmead's work in the areas of sequence alignment, text indexing, and high-performance computing has led to the development of significant software tools, including Bowtie 2, which address pressing questions in genomics research. His lab has also produced resources such as recount3 and Snaptron, which simplify querying large collections of archived sequencing datasets. Notably, his contributions to the field have earned notable recognition, with citations in the tens of thousands according to Google Scholar. Langmead holds a joint appointment with the Johns Hopkins Bloomberg School of Public Health and has been instrumental in fostering the academic community through initiatives like the Genomics@JHU seminar series. He has been acknowledged with various awards, including the Professor Joel Dean Excellence in Teaching Award and has served on the editorial boards and grant review panels for significant academic and research organizations.
Department of Biostatistics, Johns Hopkins University • Baltimore, MD
Contributed to various research projects within the department, focusing on statistical methods and data analysis in the field of biostatistics.
Department of Pathology - PhD in Pathobiology. GRE is not required.