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.
![Enlarged view: Computer science professor Gustavo Alonso](/research/data-management-machine-learning/_jcr_content/par/twocolumn/par_left/textimage/image.imageformat.textsingle.1808453358.jpg)
Gustavo Alonso
Full Professor
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databases, distributed systems, enterprise computing, system aspects of programming languages, multicore, FPGAs
![Computer science Professor Valentina Boeva](/research/data-management-machine-learning/_jcr_content/par/twocolumn/par_right/textimage_706357068/image.imageformat.textsingle.282850394.jpg)
Valentina Boeva
Assistant Professor
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bioinformatics, biomedical data analysis algorithms, computational genomics, epigenetics, cancer research, machine learning
![Enlarged view: Computer science professor Joachim Buhmann](/research/data-management-machine-learning/_jcr_content/par/twocolumn_0/par_left/textimage/image.imageformat.textsingle.1110246141.jpg)
Joachim Buhmann
Full Professor
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machine learning, statistical learning theory, model/algorithm validation, information theory, biomedical data analysis
![Prof. Ryan Cotterell](/research/data-management-machine-learning/_jcr_content/par/twocolumn_0/par_right/textimage_830001633/image.imageformat.textsingle.1041849313.jpg)
Ryan Cotterell
Assistant Professor
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natural language processing, computational linguistics, machine learning
![Enlarged view: Prof. Niao He](/research/data-management-machine-learning/_jcr_content/par/twocolumn_1165031132/par_left/textimage/image.imageformat.textsingle.1087800949.jpg)
Niao He
Assistant Professor
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large-scale optimization, machine learning, reinforcement learning, probabilistic inference
![Enlarged view: Computer science professor Torsten Hoefler](/research/data-management-machine-learning/_jcr_content/par/twocolumn_1165031132/par_right/textimage/image.imageformat.textsingle.807515127.png)
Torsten Hoefler
Full Professor
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efficient and secure datacenter architecture and networking, cloud computing, climate simulations, large-scale machine learning, quantum and high-performance computing
![Enlarged view: Computer science professor Timothy Roscoe](/research/data-management-machine-learning/_jcr_content/par/twocolumn_1081492193/par_left/textimage_1486906431/image.imageformat.textsingle.1493315718.jpg)
Timothy Roscoe
Full Professor
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operating systems, distributed systems, networking, enterprise computing
![](/research/data-management-machine-learning/_jcr_content/par/twocolumn_1081492193/par_right/textimage_294445566/image.imageformat.textsingle.151350328.jpg)
Mrinmaya Sachan
Assistant Professor
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machine learning for natural language processing, knowledge discovery and reasoning
![Enlarged view: Computer science professor Bernhard Schölkopf](/research/data-management-machine-learning/_jcr_content/par/twocolumn_1941375762/par_left/textimage_515378278/image.imageformat.textsingle.1384415990.jpg)
Bernhard Schölkopf
Full Professor
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machine learning, causal inference, applications in the sciences
![Enlarged view: Computer science professor David Steurer](/research/data-management-machine-learning/_jcr_content/par/twocolumn_1941375762/par_right/textimage/image.imageformat.textsingle.625799641.jpg)
David Steurer
Associate Professor
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complexity theory, approximation algorithms, convex optimization, parameter estimation, tensor methods