Saturday, March 23, 2019

March Science Cafe (3/26): Dr. Lea Michel (RIT): "Prevention, Protection, and Diagnosis: One protein’s role in multiple diseases"

Our next Science Cafe talk will be this coming Tuesday, March 26. As always, 7pm at the Pittsford Plaza Barnes and Noble, upstairs in the community room. For this month, our topic is:


Dr. Lea Michel
Associate Professor, School of Chemistry and Materials Science
Chair of Women in Science & Director of Rochester Project SEED
RIT

Prevention, Protection, and Diagnosis: One protein’s role in multiple diseases
The Michel research group has focused on the Peptidoglycan associated lipoprotein (Pal) protein from two pathogenic bacteria: nontypeable Haemophilus influenza (NTHi) and Escherichia coli (E. coli). NTHi causes ear infections and other respiratory illnesses, including chronic obstructive pulmonary disease (COPD). The Michel group aims to use the NTHi Pal protein in a vaccine to protect against these diseases. E. coli can be found in the human gut, where they act as a “good bacteria,” helping to maintain gut health. However, E. coli can also cause serious illnesses, including sepsis, which is extreme inflammation caused by a serious infection. In this research realm, the Michel group studies the role of Pal in sepsis and aims to prove that Pal is a useful biomarker for early detection and diagnosis of E. coli sepsis.
https://www.rit.edu/science/michel

---------------------------------------------------
There will be two more talks in our Spring series as well:


April 23: Dr. Ernest Fokoue (RIT):

To Bayes or not to Bayes? That’s no longer the question!
A light on the ubiquitous power of the Bayesian paradigm in Data Science.

This conversation will unapologetically make a series of bold claims seeking to make the case that the Bayesian Paradigm just might be the single most fundamental building block of statistical machine learning and data science. A tour of some foundational concepts in statistics and machine learning will serve as the fulcrum for anchoring all the claims, but concrete examples of the power of the Bayesian thought in modern data science will also be provided.

May 28: Dr. Andre Hudson (RIT):

Public Health Alert: Why should you care about antibiotic resistance.
Antibiotic resistance is one of the major public health challenges of the 21st century. The recent death of a United States citizen who became ill with an infection caused by Klebsiella pneumoniaethat was resistant to twenty-six antibiotics highlights this important issue. The rise in the number of multidrug-resistant bacteria such as; Methicillin-resistant Staphylococcus aureus, Vancomycin inter-mediate and resistant Staphylococcus aureus, Pseudomonas aeruginosa (multidrug resistant strains), multi-drug resistant Mycobacterium tuberculosis among others has led to a significant increase in the morbidity and mortality of humans infected with pathogenic bacteria.