Cinque Terre

Mohammad Taha Bahadori

Machine Learning Scientist
Amazon Web Services

Office: Klaus 1333
Email: lastname (at) gatech (dot) edu

Research Interests

I am mainly interested in developing novel machine learning tools for analysis of sequential data such as multivariate time series. The techniques include deep learning, high-dimensional sparse learning and low-rank tensor learning. Given the prevalence of sequential data in healthcare, I often aim at solving the practical problems in this domain.

Selected Recent Publications

Full Publication List: By topic, Chronological.

Teaching Experience

Other Experiences