Park DJ, Dudas, G, Wohl, S et al. Ebola virus epidemiology, transmission, and evolution during seven months in Sierra Leone. Cell. 2015 June 18;161(7):1516-1526.
Gire SK, Goba A, Andersen, KG et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science. 2014 Sept 12;345(6202):1369-72.
Park DJ, Lukens, LK, Neafsey, DE et al. Sequence-based association and selection scans identify drug resistance loci in the Plasmodium falciparum malaria parasite. Proceedings of the National Academy of Sciences. 2012 Aug 7;109(32):13052-7.
Volkman SK, Neafsey, DE, Schaffner, SF et al. Harnessing genomics and genome biology to understand malaria biology. Nature Reviews Genetics. 2012 Apr 12;13(5):315-28.
Van Tyne D, Park DJ, Schaffner, SF et al. Identification and functional validation of the novel antimalarial resistance locus PF10_0355 in Plasmodium falciparum. PLoS Genetics. 2011 Apr;7(4):e1001383.
Daniel Park, Ph.D.
Daniel J. Park is the group leader for viral computational genomics at the Broad Institute of MIT and Harvard. Under the direction of institute member Pardis Sabeti, Park leads the genomic analysis and development of computational methods for viral projects at the Broad, including work on Ebola, Lassa, and unidentified viral fevers, and directs the implementation of computational pipelines for use both at the Broad and at collaborating research institutions in Africa.
Park earned his Ph.D. in organismic and evolutionary biology from Harvard University in 2013, where he developed and utilized computational tools to identify adaptations in the malarial P. falciparum parasite that allow it to evade modern drugs and global eradication efforts. He has expertise in evolutionary biology, next-generation sequence analysis, software engineering, high throughput computing, education, and communication. Park joined the Broad in 2006, and was awarded a Graduate Research Fellowship from the National Science Foundation in 2010.