Time+Place: Tuesday 17/01/2017 14:30 Room 337-8 Taub Bld.
Title: Antibiotic resistance: machine learning to the rescue
Speaker: Roy Kishony - COLLOQUIUM LECTURE http://biology.technion.ac.il/?cmd=staff.47&act=read&id=267&page_id=199
Affiliation: Department of Biology, Technion
Host: Yuval Filmus


Antibiotic resistance is growing as a major public health concern. To what extent 
can computational machine learning approach be used to predict evolution of
resistance and guide treatment? Understanding the evolutionary paths leading to 
antibiotic resistance is key for our ability to develop such predictive methods.
I will describe a series of experimental-theoretical methodologies that allow us 
to follow the evolution of antibiotic resistance in the lab and in the clinic.
We will then point to ways in which computational methods can help predict the 
evolution of resistance based on the genome of the pathogen. Finally, we will
discuss ways in which drugs can be combined to slow down and even reverse the 
evolution of resistance. Together, these approaches provide the first steps towards
a new paradigm for anticipatory genome-based diagnostics that can guide 
"resistant-inverting" antimicrobial treatment.

Short Bio:

Prof. Kishony earned a B.A. in Physics and Mathematics from the Hebrew University and 
a Ph.D. in Physics from Tel-Aviv University (1999). He shifted to the field of Biology 
as a postdoc researcher at Princeton and Rockefeller Universities, where he became 
interested in microbial genetics and evolution. In 2003, he established an independent 
laboratory at Harvard University, first as a Bauer Fellow then as a member of the newly 
established Systems Biology Department at Harvard Medical School, where he was promoted 
to Full Professor in 2011. Prof. Kishony has recently joined Technion's Faculty of Biology 
and Lorry I. Lokey Center for Life Sciences and Engineering.

Prof. Kishony received the Genzyme Award for Outstanding Achievements in Biomedical Sciences 
(2009), the Gates Foundation Grand Challenge Award (2008), the McDonnell Foundation Complex 
Systems Award (2008) and the Sanofi-Pasteur Award (2013) for having "established the 
quantitative principles governing evolution of resistance in multi-drug treatments, creating 
a new discipline at the intersection of pharmacology, systems biology, and evolution". 
His research has attracted significant attention and has been featured in mass media.

Together with his lab team at the new Kishony lab, he studies how pathogens undergo specific 
adaption to the individual host they colonize, as well as novel ways to prevent pathogen 
colonization and infection.

Refreshments will be served from 14:15
Lecture starts at 14:30