Topics: Machine Learning, Causal Inference, Fairness and Interpretability
Methods: Discrete Optimization, Stochastic Optimization, Monte Carlo Methods
Application Areas: Healthcare, Criminal Justice, Credit Scoring, Revenue Management
ACM Conference on Fairness, Accountability and Transparency (FAT*), 2019.
In Submission, 2019.
<a https://github.com/ustunb/ctfdist' target='_blank'>ctfdist</a>
Machine Learning Methods
IEEE International Symposium on Information Theory (ISIT), 2018.
Proceedings of Knowledge Discovery and Data Mining (KDD), 2017.
Machine Learning, 2015.
Proceedings of AAAI Late Breaking Track, 2013.
INFORMS Journal of Computing, 2015.
Machine Learning Applications
JAMA Psychiatry, 2017.
JAMA Neurology, 2017.
Selected as a finalist for the 2019 INFORMS Innovative Applications in Analytics Award
Journal of the Royal Statistical Society Series A, 2016.
Journal of Clinical Sleep Medicine, 2015.
PhD thesis. Massachusetts Institute of Technology, 2017.
Master’s thesis. Massachusetts Institute of Technology, 2012.