Panel: Big Data Modeling
Dr. Brandeis Marshall is an Associate Professor of Computer Science and Chair of the Computer and Information Sciences Department at Spelman College. In research, Dr. Marshall is interested in discovering effective ways of handling text-based data and information. The three main focuses are: (1) labelled data analysis, (2) unlabeled data analysis and (3) fixed-length data analysis resulting in 25+ scholarly refereed publications including journal articles, conference and extended abstracts. Dr Marshall is currently serving as the PI of an HBCU-UP Targeted Infusion Project entitled Data Science eXtension, which aims to integrate data science fundamentals in curriculum at Spelman and Morehouse Colleges. She is also the Spelman PI of a dual institution research center in Socially Relevant Computing planning grant.
Aside from her scholarly endeavors, she have been actively engaged in mentoring the next generation of STEM professionals, particularly those from marginalized communities. This engagement has included, but not limited to: serving on the program committees for the ACM Richard Tapia Diversity in Computing Conference, serving as a committee member of SuperComputing’s Broader Engagement and Grace Hopper Celebration of Women in Computing. From 2012 to 2016, Dr. Caio Soares and she co-lead the Broadening Participation in Data Mining Program, co-located with KDD.