News


Kaitlin Sawatzki Wins Russek Student Achievement Award

By Grace KeplerApril 26th, 2016in Awards

Kaitlin Sawatzki (PhD candidate) received the Microbiology department's Russek Student Achievement second prize award. Kaitlin will give a poster presentation of her work.

Sawatzki, K., Ataca, W., Watanable, K., Kuraoka, M., Walter, E., Kelsoe, G., Feng, F. and Kepler, T. Non-specific activation of autoreactive B cells after anthrax vaccination delays protection.

Sila Ataca receives GMSSO Community Service Award

By Grace KeplerMarch 29th, 2016in Awards

Congratulations to Sila Ataca (PhD candidate, Microbiology), who received a Graduate Medical Sciences Student Organization (GMSSO) Community Service Award. Awardees are selected on the basis of an outstanding track record of volunteer service in the Greater Boston Area undertaken since matriculation and comes with a $500 prize to offset the cost of travel to or registration for a professional interview, conference, workshop or society.

Stephanie D’Souza presenting at Next-Generation Sequencing 2016

Stephanie D'Souza (MD student and PhD candidate) will give a talk on her research ("A draft genome sequence for the Egyptian fruit bat, the reservoir host for Marburg virus") at the Next-Generation Sequencing (NGS) 2016 conference in Barcelona next week. This conference is hosted by the International Society for Computational Biology (ISCB) and the Centre for Genomic Regulation (CRG) and is dedicated to genome annotation.

Tom Kepler teaching ‘Statistical Reasoning for the Basic Biomedical Sciences MI720′

By Grace KeplerJanuary 29th, 2016in Education and Outreach

Statistics is a key competency in scientific research—never more so than today—but too often is presented in a dry and detached manner, leaving the impression that statistics is an unfortunate but necessary hurdle to clear after the real science is done. In contrast to this view, we will approach the subject from the broader perspective of reasoning under uncertainty as an integral part of scientific research, and statistics as essential formalizations of foundational scientific methods.

In addition to building up the relevant concepts, intuitions, and theory, we will engage in hands-on exercises in class using R Studio and best data-analytical practices using R Markdown, both of which are freely available and run under Windows, OSX, and Linux.