Biography:Ben Langmead
Ben Langmead | |
|---|---|
| Born | Benjamin Thomas Langmead |
| Alma mater |
|
| Known for | Bowtie sequence aligner |
| Awards | Benjamin Franklin Award (2016) |
| Scientific career | |
| Fields | Computational biology |
| Institutions | Johns Hopkins University |
| Thesis | Algorithms and High Performance Computing Approaches for Sequencing-Based Comparative Genomics (2012) |
| Doctoral advisor | Steven Salzberg |
| Website | www |
Ben Langmead is a computational biologist and associate professor in the Computational Biology & Medicine Group at Johns Hopkins University.[1][2]
Education
Langmead gained his Bachelor of Arts degree in computer science from Columbia College, Columbia University in 2003. He gained both his Master of Science and PhD degrees in computer science from the University of Maryland, supervised by Steven Salzberg, in 2009 and 2012, respectively.[3]
Career
Langmead is known for developing the Bowtie sequence alignment algorithm,[4] which implements the Burrows–Wheeler transform in order to improve the scalability of sequence alignment. (As of 2017), the original Genome Biology paper which describes the Bowtie software package has been cited over 9,000 times.
Langmead became an assistant professor at Johns Hopkins University in July 2012.[3]
Awards
Langmead was awarded the Benjamin Franklin Award in 2016 for his promotion of free and open access materials for use in life sciences.[5]
References
- ↑ "Benjamin Langmead - Department of Computer Science". https://www.cs.jhu.edu/faculty/ben-langmead/. Retrieved 23 March 2017.
- ↑ Ben Langmead publications indexed by Google Scholar
- ↑ 3.0 3.1 "Langmead CV". http://www.biostat.jhsph.edu/~blangmea/cv/current.pdf. Retrieved 24 March 2017.
- ↑ Langmead, Ben; Trapnell, Cole; Pop, Mihai; Salzberg, Steven L (2009). "Ultrafast and memory-efficient alignment of short DNA sequences to the human genome". Genome Biology 10 (3): R25. doi:10.1186/gb-2009-10-3-r25. PMID 19261174.
- ↑ "Benjamin Franklin Award - Bioinformatics.org" (in en). http://www.bioinformatics.org/franklin/. Retrieved 23 March 2017.
 |
