My thesis work in Aleksandar Kostic's group at Harvard Medical School and Joslin Diabetes Center focuses on leveraging our understanding of the human microbiome to better understand Type 1 Diabetes (T1D) onset as well as more broadly exploring the role of host microbe interactions in metabolism. To accomplish this, I spend the majority of my time building computational tools such as Aether to deal with massive amount of sequence data that our wetlab is generating. My current projects include developing methods coupling computational algorithms and synthetic biology to recover low abundance microbes as well as longitudinally profiling the role of the microbiome in T1D onset in mice.
Trinity_USeven Trinity students and alumni were recently recognized by the National Science Foundation and received Graduate Research Fellowships, one of the most prestigious awards an aspiring scientist can earn. #TigerPride
michaelhoffman13/In summary, here's our four-step checklist for sharing your data when submitting a manuscript. We suggest making a sharing protocol for your own research group—start with this checklist and expand to contain instructions for kinds of you often work with. t.co/YCogPTzZar
JacobLuberNice work from @evan_cofer! The GPU market is perverse due to cryptocurrency mining incentives that greatly damage the environment. New domain specific efficiencies like this or industry actions like Nvidia hash-rate limiting new cards are steps forward for sustainable computing! t.co/kaxiFY1dNV
JacobLuberJournals should require all needed code to generate every figure be published with papers; additionally, journals can use some of their massive profit margins to *run* this code for every accepted paper.
On April 2nd, 2018 I was selected as a recipient of a 2018 National Science Foundation Graduate Research Fellowship for a grant application that proposed development of new sequencing methods to recover low abundance microbes from the human microbiome. The fellowship will cover my graduate school costs for the remaining three years of my PhD. More information about the fellowship can be found here: