440 Huntington Avenue
202C West Village H
Boston, MA 02115
ATTN: Carla Brodley, 202 WVH
360 Huntington Avenue
Boston, MA 02115
Applied and basic machine learning with a particular interest in time series data, longitudinal data, tasks where an expert can be involved in the learning process (such as active learning), tasks where there are non-uniform costs in making prediction errors, and unsupervised learning.
- PhD in Computer Science, University of Massachusetts at Amherst
- MS in Computer Science, University of Massachusetts at Amherst
- BA in Mathematics & Computer Science, McGill University
Carla E. Brodley is the Dean of the College of Computer and Information Science at Northeastern University. Prior to joining Northeastern, she was a professor of the Department of Computer Science and the Clinical and Translational Science Institute at Tufts University (2004-2014). Before joining Tufts she was on the faculty of the School of Electrical Engineering at Purdue University (1994-2004).
A Fellow of the ACM and the Association for the Advancement of Artificial Intelligence (AAAI), Dean Brodley’s interdisciplinary machine learning research led to advances not only in computer and information science, but in many other areas including remote sensing, neuroscience, digital libraries, astrophysics, content-based image retrieval of medical images, computational biology, chemistry, evidence-based medicine, and predictive medicine.
Dean Brodley’s numerous leadership positions in computer science as well as her chosen research fields of machine learning and data mining include serving as program co-chair of ICML, co-chair of AAAI, and serving as associate editor of the Journal of AI Research, and the Journal of Machine Learning Research. She has previously served on the Defense Science Study Group, the board of the International Machine Learning Society, the AAAI Council and DARPA’s Information Science and Technology (ISAT) Board. She is currently serving on the CRA Board of Directors, the executive committee of the Northeast Big Data Hub, and as a member-at-large of the section on Information, Computing, and Communication of AAAS.