Carla E. Brodley
Professor, Dean of Inclusive Computing, Northeastern University, Founding Executive Director, Center for Inclusive Computing
Research interests
- Computing education research
- Broadening participation in computing
- University administration
Education
- PhD in Computer Science, University of Massachusetts at Amherst
- MS in Computer Science, University of Massachusetts at Amherst
- BA in Mathematics and Computer Science, McGill University — Canada
Biography
Carla E. Brodley is the dean of inclusive computing and the founding executive director of the Center for Inclusive Computing (CIC) at Northeastern University. She is the dean emeritus of the Khoury College of Computer Sciences.
A $50 million initiative, the CIC funds and advises universities in the United States to remove institutional barriers to the discovery, access, and retention of underrepresented groups in computing. In this role, Brodley works with presidents, provosts, deans, chairs, and faculty at more than 80 universities, all while raising money from the government, corporations, and philanthropists.
Previously, Brodley served as dean of Khoury College (2014–21) and, as the sole dean appointed to the Northeastern University Presidential Cabinet, served as a senior advisor to Northeastern President Joseph Aoun (2019–21). Before joining Northeastern, Brodley was a professor in the Department of Computer Science (2004–14) and the Clinical and Translational Science Institute at Tufts Medical Center (2011–14), as well as chair of the Department of Computer Science (2010–13) at Tufts University. Before joining Tufts, she was on the faculty of the School of Electrical and Computer Engineering at Purdue University (1994–2004).
Brodley’s interdisciplinary machine learning research has led to advances not only in computer science, but also in remote sensing, neuroscience, digital libraries, astrophysics, content- based image retrieval of medical images, computational biology, chemistry, evidence-based medicine, and predictive medicine. As a result of this impact, Brodley was made a fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of Artificial Intelligence (AAAI), and the American Association for the Advancement of Science (AAAS).
Brodley's many leadership positions include program co-chair of the International Conference on Machine Learning, co-chair of AAAI, and associate editor of Machine Learning, the Journal of AI Research, and the Journal of Machine Learning Research. She also served on the Defense Science Study Group, the board of the International Machine Learning Society, the AAAI Council, the executive committee of the Northeast Big Data Hub, DARPA’s Information Science and Technology Board, the advisory committee for the NSF’s CISE Directorate, and the AAAS Section on Information, Computing, and Communication. Currently, Brodley serves on the board or advisory council of the Computing Research Association, the Mass Technology Leadership Council, and the Jackson Laboratory.
Recent publications
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Re-making CS Departments for Generation CS
Citation: Kathleen J. Lehman, Carla E. Brodley, Mark Guzdial, Paul Tymann, Aman Yadav. (2024). Re-making CS Departments for Generation CS SIGCSE (2), 1535-1536. https://doi.org/10.1145/3626253.3631655 -
Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates?
Citation: Albert Lionelle, Mckenna Quam, Carla E. Brodley, Catherine Gill. (2024). Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates? SIGCSE (1), 729-735. https://doi.org/10.1145/3626252.3630835 -
Collecting, Analyzing, and Acting on Intersectional, Longitudinal Data and Pass/Fail/Withdraw Rates in Computing Courses
Citation: Felix Muzny, Megan Giordano, Emma Sommers, Carla E. Brodley. (2024). Collecting, Analyzing, and Acting on Intersectional, Longitudinal Data and Pass/Fail/Withdraw Rates in Computing Courses SIGCSE (1), 909-915. https://doi.org/10.1145/3626252.3630806 -
Why universities must resist GPA-based enrollment caps in the face of surging enrollments
Citation: Carla E. Brodley. (2022). Why universities must resist GPA-based enrollment caps in the face of surging enrollments Commun. ACM, 65, 20-22. https://doi.org/10.1145/3544547 -
Interdisciplinary Computing Majors (CS+X): Making it work at your University
Citation: Carla E. Brodley, Valerie Barr. (2022). Interdisciplinary Computing Majors (CS+X): Making it work at your University SIGCSE (2), 1182. https://doi.org/10.1145/3478432.3499174 -
The MSCS New Pathways Consortium – a National Invitation
Citation: Carla Brodley, Jan Cuny, RESPECT 2020 -
Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing’s Site Visits
Citation: Carla E. Brodley, Catherine Gill, Sally Wynn. (2021). Diagnosing why Representation Remains Elusive at your University: Lessons Learned from the Center for Inclusive Computing's Site Visits RESPECT, 1-4. https://doi.org/10.1109/RESPECT51740.2021.9620552 -
An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS
Citation: Carla Brodley, Megan Barry, Aidan Connell, Catherine Gill, Ian Gorton, Benjamin Hescott, Bryan Lackaye, Cynthia LuBien, Leena Razzaq, Amit Shesh, Tiffani Williams, Andrea Danyluk, SIGCSE '20 -
Cortical feature analysis and machine learning improves detection of “MRI-negative” focal cortical dysplasia
Citation: Bilal Ahmed, Carla E. Brodley, Karen E. Blackmon, Ruben Kuzniecky, Gilad Barash, Chad Carlson, Brian T. Quinn, Werner Doyle, Jacqueline French, Orrin Devinsky, Thomas Thesen. "Cortical feature analysis and machine learning improves detection of “MRI-negative” focal cortical dysplasia". Science Direct, Epilepsy & Behavior, 2015. DOI: 10.1016/j.yebeh.2015.04.055 -
Clinical Vestibular Testing Assessed With Machine-Learning Algorithms
Citation: Adrian J. Priesol, Mengfei Cao, Carla E. Brodley, Richard F. Lewis. "Clinical Vestibular Testing Assessed With Machine-Learning Algorithms." JAMA Otolaryngol Head Neck Surg, 2015. DOI: 10.1001/jamaoto.2014.3519
