Overview
Building 50
Room 1227/1233
The National Cancer Institute and the University of Maryland proposes to foster collaborations between data science researchers at UMD and cancer PIs.
This will be the first of a series of four workshops that will provide a meeting ground for informal exchange of knowledge, ideas and networking to facilitate such collaborations. The intent is that this will lead to several collaborative projects that will be carried out by UMD data science graduate students under the joint supervision of UMD and NCI researchers.
The November 30 workshop will focus on presentations by UMD data scientists to provide an introduction of various data science and machine learning approaches and principles towards potential joint research opportunities. One of its goals is to stimulate NCI PIs to present possibly underexplored data they either have or can make available in a second workshop. The second workshop, set for February 1, 2019 at UMD, will allow interested NCI PIs to present the questions, data and challenges of interest. Significant time will be allotted to networking sessions to enable researchers from both NCI and UMD to interact with each other, and overall, this workshop should be an informative, exploration enabling and fun event, culminating in a solicitation of fellowship applications from UMD students.
A recent award from the Year of Data Science program at UMD will allow seven $3,500 fellowships for students proposing to develop joint projects during summer 2019. The anticipated application deadline is February 20, with decisions soon thereafter
MAIN TOPICS WILL INCLUDE (but not limited to):
- Machine Learning: Different Types of Learning; Current Approaches; Key Issues in Performance and Limitation
- Machine Learning in different Biomedical and Cancer Domains
- Integrating Machine Learning Technologies and Human domain expert knowledge
- Efficiently handling and processing big data in Modern Computing
- Text mining, image processing, omics analysis et al…