I’m a CSAIL PhD Student (CV) working with Dr. Peter Szolovits in MEDG. I have worked with Dr. John Guttag at CSAIL, and have clinical collaborations at Beth Israel Deaconess Medical Center and Massachusetts General Hospital. During summer 2016 I am worked at Microsoft Research New England on unsupervised disease progression modelling, and this Fall I'm organizing the NIPS 2016 Workshop on Machine Learning for Health. I also organized MIT's first Hacking Discrimination event.

I’m interested in creating and applying machine learning algorithms towards improved prediction and stratification of relevant human risks. My PhD work has focused on:

Clinical Note Representations That Predict ICU Mortality/Re-Admission

Ghassemi, M., Naumann, Doshi, Brimmer, Joshi, Rumshisky, and Szolovits. (KDD 2014);
Ghassemi, M.*, Pimentel*, Naumann, Brennan, Clifton, Szolovits, and Feng. (AAAI 2015);
Rumshisky, Ghassemi, M., Naumann, Szolovits, Castro, McCoy, and Perlis. (Translational Psychiatry – Nature 2016)

Multivariate Signal Representations That Predict ICU Interventions

Ghassemi, M.*, Wu*, Feng, Celi, Szolovits, and Doshi-Velez. (JAMIA 2016);
Ghassemi, M*, Wu*, Hughes*, Szolovits, and Doshi-Velez. (AMIA-CRI 2017)

Wearable-Data Representations That Detect Vocal Patterns and Pathologies

Ghassemi, M., Van Stan, Mehta, Zañartu, Cheyne, Hillman, and Guttag. (IEEE TBME 2014);
Ghassemi, M., Syed, Mehta, Van Stan, Hillman, and Guttag. (MLHC 2016/JMLR W&C V56)