Data Management and Machine Learning
One of the central challenges of our time is managing and gaining insights from massive amounts of data through a new research paradigm that is often referred to as "data science". At its core, data science is mainly composed of data management and machine learning – two areas that are well-represented in the department with substantial interaction and collaboration between researchers. The faculty’s research covers all aspects of the data value chain: the generation and acquisition of data, data organisation and storage, data processing, and learning from data making predictions and decisions.
Valentina Boeva
Assistant Professor
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bioinformatics, biomedical data analysis algorithms, computational genomics, epigenetics, cancer research, machine learning
Ryan Cotterell
Assistant Professor
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natural language processing, computational linguistics, machine learning
Mrinmaya Sachan
Assistant Professor
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machine learning for natural language processing, knowledge discovery and reasoning
David Steurer
Associate Professor
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complexity theory, approximation algorithms, convex optimization, parameter estimation, tensor methods
