• Congratulations to Allison Franklin on her successful PhD defense! Allison is a PhD in Soil Science and Biogeochemistry and her dissertation “Analysis of environmental fate, transport and toxicological impacts of antibiotics  and antibiotic resistant bacteria in agroecosystems impacted by wastewater treatment plant effluent.”


  • The 22nd annual Environmental Chemistry and Microbiology Student Symposium is quickly approaching and the deadline for abstract submission is February 21st. For more information or to register/submit an abstract see the following links: ECMSS 2019 registration and abstract submission

    Deadline: February 21, 2019 (9PM EST); For additional conference information go to: ECMSS 2019 website

  • Congratulations to Paulina Piotroswski on her successional PhD defense! Piotrowski earned a PhD in Chemistry and Biogeochemistry with this dissertation “Enhancing analytical methods towards the geochemical and biogeochemical fingerprinting of shale gas systems”. Piotroswski’s next stop is as a post-doctoral scholar at the National Institute of Standards and Technology. Good luck Paulina!


  • Mark your calendars for the 21st annual Environmental Chemistry and Microbiology Student Symposium! It will be held April 13-14th and co-chairs Mara Cloutier and Jenelle Fortunato have promised a great event! Click here for more information:


  • PPEM 440, Environmental Microbiomes: Concepts and Analysis Tools will be a new class offered fall 2018 and will be instructed by Dr. Terry Bell, a new Biogeochemistry Faculty member in the PPEM department. Here is a brief description of the course outcomes: this course is intended for students with very little background in programming or bioinformatics, but with a strong understanding of microbiology, molecular biology, and/or ecology.
    At the conclusion of this course, students will be able to:

    1. Interpret microbiome terminology and figures.
    2. Understand and present a summary of a microbiome-based journal article.
    3. Analyze microbiome-based high-throughput sequencing data using freely available software.
    4. Apply microbiome analysis tools to unknown data.
    5. Express their interpretation of microbiome data in oral, written, and graphical contexts.