BioSystems Data Science
Scientific efforts in the BioSystems Data Science department are focused on advancing our understanding of genome biology and dynamic ecosystem processes through the application of data science.
Developing a mechanistic understanding of how the genomes of organisms influence complex ecosystem dynamics requires the generation, management, and interpretation of vast amounts of complex heterogeneous data. The Biosystems Data Science department draws on research in computer science, statistics, and mathematics to build tools and infrastructure for managing and analyzing this data, and using it to facilitate building of predictive models.
For more information, contact Department Head Chris Mungall.
Steven E. Brenner - Biologist Faculty Scientist
Ben Brown - Computational Biologist Staff Scientist
John-Marc Chandonia - Computational Biologist Research Scientist
Paramvir Dehal - Computational Research Scientist
Joshua Ladau - Bioinformaticist Project Scientist
Chris Mungall - Department Head, Biosystems Data Science
Justin Reese - Computer Research Scientist
Steven Ahrendt - Data Scientist
Emiley Eloe-Fadrosh - Metagenome Program Head, DOE Joint Genome Institute
Héctor García Martín - Staff Scientist
Sharon Greenblum - Computational Biologist Research Scientist
Sung-Hou Kim - Faculty Affiliate
Nikos Kyrpides - Computational Biologist Senior Scientist
Stephen Nayfach - Bioinformaticist Research Scientist
Zhong Wang - Computational Biologist
Was this page useful?