Adam C. Siepel
| Adam Siepel | |
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| Born | Adam C. Siepel June 24, 1972 |
| Nationality | United States |
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| Thesis | Comparative mammalian genomics: Models of evolution and detection of functional elements (2005) |
| Doctoral advisor | David Haussler |
| Known for | evolutionarily conserved sequences |
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Website siepellab |
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Adam C. Siepel (born 1972) is an American computational biologist known for his research in comparative genomics and population genetics, particularly the development of statistical methods and software tools for identifying evolutionarily conserved sequences. Siepel is currently Chair of the Simons Center for Quantitative Biology and Professor in the Watson School for Biological Sciences at Cold Spring Harbor Laboratory.
Siepel completed a B.S. in Agricultural and Biological Engineering at Cornell University in 1994, then worked at Los Alamos National Laboratory until 1996. From 1996 to 2001, he worked as a software developer at the National Center for Genome Resources in Santa Fe, while completing an M.S. in Computer Science at the University of New Mexico. He obtained a Ph.D. in Computer Science from the University of California, Santa Cruz in 2005. He was on the faculty of Cornell University from 2006 to 2014 and moved to Cold Spring Harbor Laboratory in 2014.
Siepel has worked on various problems at the intersection of computer science, statistics, evolutionary biology, and genomics. At Los Alamos National Laboratory, he developed phylogenetic methods for detecting recombinant strains of HIV, and at the National Center for Genome Resources, he led the development of ISYS, a technology for integrating heterogeneous bioinformatics databases, analysis tools, and visualization programs. Siepel also did theoretical work on algorithms for phylogeny reconstruction based on genome rearrangements, working with Bernard Moret at the University of New Mexico. When Siepel left software development to join David Haussler's laboratory at the University of California, Santa Cruz, he turned to computational problems in comparative genomics. In Haussler's group, he developed several analysis methods based on phylogenetic hidden Markov models, including a widely used program called phastCons for identifying evolutionarily conserved sequences in genomic sequences.
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