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.

[8] 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.

[14] The group also has an active research program in transcriptional regulation, carried out in close collaboration with John T. Lis's laboratory.

A common theme in Siepel's research is the development of precise mathematical models for the complex processes by which genomes evolve over time.

His research group uses these models, together with techniques from computer science and statistics, both to peer into the past, and to address questions of practical importance for human health.