Kristin Bennett


Dr. Bennett brings over 30 years of research experience in artificial intelligence, machine learning, and their applications to problems in health, science, and industry. Her research specialty is working with people with problems and data and then developing novel machine learning and AI models and work flows to solve their problems. She serves as Associate Director of Institute of Data Exploration and Applications (IDEA). Her role is to both lead major data science research projects, develop and lead teams for new research projects, and create data science research education programs. Her work with industry includes projects with GE (PI) and Global Foundries (co-Pi). She have been PI or Co-Pi on many data science research projects funded by GE (PI), Global Foundries (co-PI), Albany Capital District Physicians Health Plan (HMO, PI), IBM (co-PI), United Health Foundation/OPTUM Labs (PI), HBI Solutions (Healthcare Data Science, PI), Albany Medical Center (Hospital, PI), Bill and Melinda Gates Foundation (co-PI), NIH (PI and co-PI) and NSF (PI and co-PI). She has worked with electronic medical records and public health data to develop solutions to problems such as Treatment Effect Estimation, Emergency Department Readmission, Critical Care Management, and High Cost Medicare Patients. She works in emerging research areas such as health equity, ML fairness, and synthetic health data. She has been program chair and area chair, PC member and/or organizer for conferences in machine learning, data mining, and operations research including KDD, AAAI, Intl. Conf. on Continuous Optimization, International Conference on Machine Learning, NIPS, IEEE Conf. on Data Mining, COLT, INFORMS, and SIAM ICDM. She has over 130 research publications. She has been a plenary speaker at major conferences including AAAI, IJCNN, and IEEE BIBM. She founded and directs the Data INCITE Lab which does novel applied data analytics research. Data INCITE fully integrates education and research. Over 250 undergrad students have done research in Lab on real problems for actual clients resulting in publications and applications. Recent awards from her group include “MortalityMinder” which was a winner in the AHRQ Visualization of Social Determinants of Health Contest, 2019 and Best Student paper at ACM BCB 2021.

Education & Training

Ph.D., University of Wisconsin, Madison, 1993

M.S., University of Wisconsin, Madison, 1989

B.S., University of Puget Sound, 1985



Other affililations: Industrial and Systems Engineering, Computer Science


Other Focus Areas
  • Machine Learning, Data Mining, Data Science
  • Artificial Intelligence
  • Combining operations research and artificial intelligence problem solving methods.
  • Mathematical programming approaches to problems in artificial intelligence such as machine learning, neural networks, pattern recognition, and planning.
  • Application of these techniques to medical, financial and scientific problems.
  • Fairness and Equity in ML, AI and Health
  • Innovative pedagogy in data analytics education.
  • Bioinformatics and Cheminformatics



The following is a selection of recent publications in Scopus. Kristin Bennett has 143 indexed publications in the subjects of Computer Science, Mathematics, Medicine.

Karan Bhanot, John S. Erickson, Kristin P. Bennett
Information (Switzerland)
, 15
, 2024
Jade S. Franklin, Hannah Powers, John S. Erickson, Jamie McCusker, Deborah L. McGuinness, Kristin P. Bennett
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, 14382 LNCS
, 2023
, pp.243-261
Morgan L. Ford, Jessica M. Cooley, Veda Sripada, Zhengwen Xu, John S. Erickson, Kristin P. Bennett, Dana R. Crawford
Frontiers in Nutrition
, 10
, 2023
Miao Qi, Henrique Santos, Paulo Pinheiro, Deborah L. McGuinness, Kristin P. Bennett
, 18
, 2023
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
Proceedings of Machine Learning Research
, 213
, 2023
, pp.499-517
Paulo Pinheiro, Henrique Santos, Miao Qi, Kristin P. Bennett, Deborah L. McGuinness
CEUR Workshop Proceedings
, 3466
, 2023
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin Bennett
AIES 2023 - Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society
, 2023
, pp.764-774
Kristin P. Bennett, Michael C. Ferris, Jong Shi Pang, Mikhail V. Solodov, Stephen J. Wright
Mathematical Programming
, 198
, 2023
, pp.1121-1123
Miao Qi, Amar K. Das, Kristin P. Bennett
IEEE Journal of Biomedical and Health Informatics
, 27
, 2023
, pp.1084-1095
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
Proceedings of Machine Learning Research
, 202
, 2023
, pp.31657-31674

View All Scopus Publications


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