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.
Gustavo Alonso
Full Professor
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databases, distributed systems, enterprise computing, system aspects of programming languages, multicore, FPGAs
Valentina Boeva
Assistant Professor
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bioinformatics, biomedical data analysis algorithms, computational genomics, epigenetics, cancer research, machine learning
Joachim Buhmann
Full Professor
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machine learning, statistical learning theory, model/algorithm validation, information theory, biomedical data analysis
Ryan Cotterell
Assistant Professor
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natural language processing, computational linguistics, machine learning
Niao He
Assistant Professor
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large-scale optimization, machine learning, reinforcement learning, probabilistic inference
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
Andreas Krause
Full Professor
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machine learning, artificial intelligence, reinforcement learning, probabilistic inference
Fernando Perez Cruz
Adjunct Professor
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machine learning, data science, signal processing, information theory, bayesian modeling
Mrinmaya Sachan
Assistant Professor
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machine learning for natural language processing, knowledge discovery and reasoning
Bernhard Schölkopf
Full Professor
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machine learning, causal inference, applications in the sciences
David Steurer
Associate Professor
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complexity theory, approximation algorithms, convex optimization, parameter estimation, tensor methods
Zhendong Su
Full Professor
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compilers, programming methodologies and tools, testing, analysis, verification, software security, machine learning, education technologies
Fanny Yang
Assistant Professor
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machine learning (theory and reliability), non-parametric and high-dimensional statistics, optimisation