Time+Place: Wednesday 18/11/2015 14:30 Room 337-8 Taub Bld.
Title: Using Network Models to predict Disease Outbreaks, Bioterrorism, and Drug Deaths
Speaker: Ben Reis - COLLOQUIUM LECTURE - Note unusual day http://scholar.harvard.edu/reis/home
Affiliation: Harvard University
Host: Nir Ailon


Network models have the potential to address key challenges in biomedicine 
and public health. In this talk, we will describe the application of a number 
of different network models for a range of different problems.  
We will discuss the prediction and detection of disease outbreaks around 
large public events such as the Olympics, the detection of bioterrorist 
attacks within a dynamic public health environment, and the prediction of 
adverse drug side effects based on the topology of the drugome. 
We will describe the motivation for these models as well as the challenges faced.

Short Bio:

Ben Reis is Director of the Predictive Medicine Group at Harvard
Medical School and the Children's Hospital Informatics Program. His
research focuses on understanding the fundamental patterns of human
disease and on developing novel approaches for predicting disease. He
has created systems that allow doctors to predict dangerous clinical
conditions years in advance, including suicide and domestic abuse, as
well as predictive pharmacology systems that allow drug safety
professionals to identify life-threatening adverse drug effects years in
advance. He has advised the US government on establishing national
biodefense systems in the wake of the 9/11 attacks, the Hong Kong
government on building health infrastructure in response to the SARS
pandemic, the Greek government on establishing biodefense systems for
the 2004 Athens Summer Olympics, and the Chinese Government in advance
of the 2008 Beijing Summer Olympics. He has been honored at the White
House for his work on harnessing social networks to promote health, and
was selected as a leading global health innovator by the US State
Department, USAID and NASA.

Dr. Reis received his PhD from the University of Cambridge as a Marshall
Scholar, where he researched the prediction of musical sequences and the
learning of musical styles. He completed his postdoctoral training at
Harvard Medcal School as an NIH Fellow in Health Informatics,
researching the dynamics of genetic expression networks. Before joining
the faculty, Dr. Reis worked as a management consultant at McKinsey and
Company, and as manager at the Markle Foundation's Health and
Technology program.

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