NYU Workshop on Data Science for Medicine and Health


June 9 (Fri) 2017 9.00am-5.30pm


Lipton Hall at NYU School of Law
108 W 3rd St


We see increasingly many collaborative research projects between data science and medicine these days. Google has recently announced two seminal works in which deep neural networks have been used to detect cancer and diabetic retinopathy, and other major technology companies, such as IBM, as well as medicine-oriented companies have begun to demonstrate and invest in data-driven medicine. This is of course in addition to all existing research effort from academia.

NYU has a long history in data-driven medicine research, but much of existing research have largely been conducted separately in various schools, institutes and centers of NYU, including the Center for Data Science, the Courant Institute, the College of Global Public Health, the School of Medicine (Langone Medical Center) and Tandon School of Engineering, without substantial cross-institution interaction. In this era of big data, compute-intensive algorithms and fast-paced research, there is a clear need for more close interaction and collaboration across institutions within NYU.

Center for Data Science (CDS) at NYU and the NYU School of Medicine (Langone Medical Center) are happy to announce the NYU Workshop on Data Science for Medicine and Health which will take place on June 9. At this workshop experts in machine learning, data science, health sciences and medicine, across the whole NYU community, will gather and share their research with each other and discuss collaboration opportunities. The Workshop will start with two overview talks from the CDS and Langone Medical Center, followed by the talks from various departments across the university. During the lunch hour, we will have a select set of poster presentations followed by a few spotlight presentations. The Workshop will end with a discussion session in which future steps toward tighter collaboration would be discussed.

Contact us!

If you’re interested in the workshop and want to discuss how you can help us with the workshop, please contact Kyunghyun Cho (firstname dot lastname at nyu dot edu).