Breakfast Club Seminar Series - NEW Two-Speaker Format!

Event Details
  • Date/Time:
    • Tuesday November 12, 2019
      8:30 am - 9:30 am
  • Location: Parker H. Petit Institute for Bioengineering and Bioscience, Room 1128
  • Phone: 4048946228
  • URL: Petit Institute website
  • Email:
  • Fee(s):
  • Extras:

Colly Mitchell, Petit Events Manager


Summary Sentence: Sam Brown, Ph.D. - Georgia Tech, and Cassie Mitchell, Ph.D. - Georgia Tech

Full Summary: No summary paragraph submitted.

  • Petit Institute Breakfast Club Seminar Series Petit Institute Breakfast Club Seminar Series


@ 8:30 A.M.

Sam Brown, Ph.D.
Associate Professor
School of Biological Sciences
Georgia Tech

"Conditional Strategies for Effective and Evolutionarily Robust Infection Control"

I will discuss recent theory and experimental work to address the antibiotic resistance crisis via treatment strategies that are conditioned on diagnostics. I will show that reversing the rise in AMR is possible, but requires diagnostic information during both point-of-care and periodic microbiome surveillance (e.g. as part of an annual health check). 

Microbial model systems offer unparalleled access to the molecular mechanisms and ecological forces that together shape evolution, making them powerful systems for addressing fundamental behavioural, ecological and evolutionary questions. In our work, these questions include – why cooperate? Why communicate? Why kill your host? At the same time, a continual lab challenge is to consider – what are the practical implications of our discoveries? Can they drive novel therapeutics or diagnostics? Do they point to unappreciated epidemiological or evolutionary risks? Can we develop sustainable, evolution-proof therapeutics?

@ 9:00 A.M.

Cassie Mitchell, Ph.D. @ 9:00 a.m.
Assistant Professor
Wallace H. Coulter Department of Biomedical Engineering
Georgia Tech and Emory University

"Literature Mining Strategies for Predictive Medicine"

This talk will focus on newer approaches and tools for text mining of biomedical relationships and concepts from the 28+ million PubMed publications.  A real case study will illustrate how literature mining using biomedical concept graphs can be used to derive new actionable insights for disease etiology, treatment discovery, clinical care support, and research prioritization.

Cassie Mitchell’s research goal centers around expediting clinical translation from bench to bedside using data-enabled prediction. Akin to data-based models used to forecast weather, Cassie’s research integrates disparate, multi-scalar experimental and clinical data sets to dynamically forecast disease.  Cassie is the principal investigator of the Laboratory for Pathology Dynamics, which uses a combination of big data, machine learning, biostatistics, and informatics-based techniques to identify complex disease etiology, predict new therapeutics, and optimize current interventions.  Cassie’s research has predominantly targeted neuropathology, but her research applications in predictive medicine expand across all clinical specialties, including cancer, pediatrics, and cardiovascular medicine.


Related Links

Additional Information

In Campus Calendar

Parker H. Petit Institute for Bioengineering and Bioscience (IBB), Wallace H. Coulter Dept. of Biomedical Engineering

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
IBB, BK Club
  • Created By: Colly Mitchell
  • Workflow Status: Published
  • Created On: May 30, 2019 - 12:48pm
  • Last Updated: Jun 18, 2019 - 1:59pm