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Ecological and Evolutionary Signal-processing and Informatics Laboratory



The EESI Laboratory aims to:
  • Decipher organism community structure of environmental samples

  • Analyze the functional expression vs. capacity of environmental samples

  • Investigate the dynamics of communities of organisms across time, space, and other environmental gradients

  • Educate the greater (human) community about genomics, computation, and bioinformatics


Check out our GitHub development page: EESI GitHub

Upcoming EESI Events

* October 27th, 2016:Stephen Woloszynek will be presenting a poster at the Penn Chop Microbiome Symposium
* November 1st, 2016: Zhengqiao Zhao and Gail Rosen will be presenting a demo at the Center for Visualization and Decision Informatics Conference in Lafayette, Lousiana
* November 9-11, 2016: Stephen Woloszynek will be presenting a poster at the Intl. Human Microbiome Congress in Houston, TX.


December 2016 -- Congratulations to Stephen Woloszynek and co-authors on publishing Engineering Human Microbiota: Influencing Cellular and Community Dynamics for Therapeutic Applications!
September 2016 -- Congrats to Dr. Rosen for returning from her well-deserved sabbatical at Weill Cornell Medicine. Stay tuned for resulting publications!
August 2016 -- Congratulations to Stephen Woloszynek for obtaining many travel fellowships this year, with the most prestigious being the Lee Smith Travel Fellowship to Asia.
June 2016 -- Congratulations to Zhengqiao Zhao for receiving an honorable mention for the outstanding promise award at the Graduate Student Day
August 2015 -- Congratulations to three EESI members on the defense of their PhD Thesis and landing great positions!!
  Congrats to:
  Gregory Ditzler, Asst. Prof. at Univ of Arizona
  Yemin Lan, Bioinformatician at the Penn Epigenetics Program
 Erin Reichenberger,Postdoc at the USDA
March 2013 -- The lab has received an NSF award with Jacob Russell of Biology and Penny Hammrich of the College of Education for developing a 3-course undergraduate Microbiome Informatics sequence