Data Science and Image Analysis Conference of the Pacific Northwest

The Department of Mathematics and Statistics at Washington State University, in cooperation with the Association for Women in Mathematics (AWM), will host the Data Science and Image Analysis Conference of the Pacific Northwest in Pullman, Washington, February 29th and March 1st, 2020. Please visit the Student Proposals page of the website for information on applying for a travel award for students, postdocs, and early career researchers, as provided for in a National Science Foundation (NSF) conference grant.

The conference will promote close collaborations on current and ongoing areas of research through a highly interactive and open format. The first day will have professionals from industry, government, and academia in the fields of data science and image analysis come together, along with students and post-doctoral researchers, to collaborate on open problems through short talks, in-depth group discussions, and breakout sessions. The second day will consist of professional development activities for students and junior researchers, and will feature presentations from members of this group, with direct feedback provided from professionals. The conference will provide a unique opportunity for students and junior researchers to participate and will encourage future collaborations among all levels of researchers. Possible topics include topological data analysis, bioinformatics, learning from remote sensing data, financial & economic prediction, image segmentation and filtering in biomedical imaging, hyperspectral imaging, pattern recognition, shape analysis, image reconstruction, and more.

The ever-increasing demand for managing and analyzing “big data” in nearly every sector of society, from finance and security to health care and social media, has led to a wide range of applications across numerous fields of research. Similarly, image analysis techniques have continued to be developed and incorporated into a multitude of disciplines, such as biomedical imaging, machine learning, and computer vision. Since many important societal outcomes are dependent on these fields, the conference hopes to make a broad impact by widely sharing the progress made on the open problems discussed. With the demand for experts in these areas growing rapidly, the conference also seeks to increase the number of researchers entering STEM fields, especially women and members of underrepresented groups, by offering professional development and introductory workshops. These shall serve as a practical and theoretical introduction to these disciplines, and panel discussions will provide timely career advice. And organizations, such as Pacific Northwest National Laboratory, will be on-site to speak with students interested in pursuing careers in data science and image analysis. For more info, please visit