Jacob Abernethy is an assistant professor in the EECS Department at the University of Michigan, Ann Arbor. He finished his PhD in Computer Science at the UC Berkeley, and was a Simons postdoctoral fellow at the University of Pennsylvania. Jake's primary interest is in Machine Learning, and he likes discovering connections among Optimization, Statistics, and Economics.
The Flint, Mich., water crisis began in 2014 when the Flint River became the drinking water source for the city of Flint, Michigan. Due to insufficient water treatment, 100,000+ residents were potentially exposed to high levels of lead in the drinking water. As of early 2017, the water quality had returned to acceptable levels, but residents were instructed to continue to use bottled or filtered water until all the lead pipes have been replaced, which is expected to be completed no sooner than 2019.
Questions abound: Who is most at risk? Where are the harmful sources of lead? Where should resources be allocated?
In this session, attendees will hear the fascinating story of how two University of Michigan professors, sing big-data tools, answered these questions and help inform the response to this public health crisis.
When it comes to be big data and analytics or just about any topic in healthcare, there’s no experience like first-hand experience.
The title of this session, the Big Data & Healthcare Analytics Genius Bar, is a takeoff on the name for the in-store tech support provided in retail Apple Stores.
Have you got a question about big data and analytics? This is the session to get it answered. It’s as simple as that. We’ll have two floor microphones and our expert panelists will take audience questions as they come, as well as from moderator Tom Sullivan, Healthcare It News editor-in-chief.
Think of this as a big brainstorming and networking session. Or experts will provide their best, unbiased advice, but we can also pull on the collective experience of the all attendees.