The organizers of NYC Health Data Scientists are presenting you with an intriguing Health Data Science talk.
The Shape of Health Data
• Tuesday, May 27, 2014
• 6:30 PM to 8:30 PM
• Blueprint Health:
483 Broadway, 2nd floor, New York, NY (map)
The current challenge in big data is the ability to process huge amounts of data and extract insights. Using traditional methods, we would write a query and then apply statistical methods or machine learning algorithms to analyze the data. This is problematic because it requires a data analyst to know a priori what question to ask and consequently limits the ability to find insights. Topological data analysis (TDA) does not require writing queries. Instead, it harnesses information from the shape of data by creating a compressed representation. What this means is that we can discover insights by exploiting the geometric properties of the data. We discover answers for questions we did not know to ask. This talk will discuss how TDA serves as a framework for machine learning algorithms with applications to life sciences and healthcare.
Jean-Ezra Yeung is a Data Scientist at Ayasdi. He previously worked in technical consulting for pharmaceutical and medical devices clients, and health policy evaluation for the Department of Health and Human Services. He received his BA in Economics from New York University and an MPH from Columbia University.
Jean-Ezra Yeung (http://www.meetup.com/HealthDevsNYC/member/12898028) changed the time from 7:00 PM to 6:30 PM
Thanks to Blueprint Health for hosting us!