- Sequence Alignment
- Text Indexing
- High Performance Computing
- Big Data
Langmead’s research focuses on ways of making high-throughput data easier to analyze and interpret. He uses approaches from computer science and statistics to create high-impact software tools widely used in genomics research and by other scientists. He earned his bachelor’s (’03) in computer science from Columbia University and his master’s (’09) and Ph.D. (’12) in computer science from the University of Maryland College Park.
Secondary Appointments: Department of Biostatistics, Bloomberg School of Public Health