Charles Lawrence | |
|---|---|
| Nationality | American |
| Alma mater | Rensselaer Polytechnic Institute Cornell University |
| Known for | Bayesian Statistics Computational Molecular Biology Statistical Inferences in discrete high-D spaces |
| Scientific career | |
| Fields | Bioinformatics Applied mathematics |
| Institutions | Brown University |
Charles "Chip" Lawrence is an American bioinformatician and mathematician, who is the pioneer in developing novel statistical approaches to biological sequence analysis.
After his PhD graduation, Lawrence became the assistant professor in Systems Engineering and Operations Research and Statistics, in Rensselaer Polytechnic Institute. In the same time period of time (1971–1975), Lawrence worked as the consultant to the Ministry of Maternal and Child Health in Dominican Republic. From 1975 to 1981, he worked in the New York State Department of Health as the Director of Operations Research and Statistics, in the Division of Epidemiology.
Now, he is the Professor of Applied Mathematics and Center for computational Molecular Biology, at Brown University.[1] From 2004 to 2006, he was the director of the Center for Computational Biology. Now he is the director of the Statistical Molecular Biology Group (SMBG), at Brown University.
Lawrence's key scientific works to date are focusing on algorithmic approaches to biological sequence analysis. In fact, he was one of the first to recognize that the inherent statistical nature of genomic processes and the immense data resulting from genomic sequencing projects could only be fully analyzed by using statistical algorithms.