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
Website
databases, distributed systems, enterprise computing, system aspects of programming languages, multicore, FPGAs
Valentina Boeva
Assistant Professor
external page Website
bioinformatics, biomedical data analysis algorithms, computational genomics, epigenetics, cancer research, machine learning
Ryan Cotterell
Assistant Professor
external page Website
natural language processing, computational linguistics, machine learning
Niao He
Associate Professor
Website
large-scale optimization, machine learning, reinforcement learning, probabilistic inference
Torsten Hoefler
Full Professor
Website
efficient and secure datacenter architecture and networking, cloud computing, climate simulations, large-scale machine learning, quantum and high-performance computing
Thomas Hofmann
Full Professor
Website
machine learning, natural language understanding, information retrieval, user analytics
Mrinmaya Sachan
Assistant Professor
external page Website
machine learning for natural language processing, knowledge discovery and reasoning
Bernhard Schölkopf
Full Professor
Website
machine learning, causal inference, applications in the sciences
David Steurer
Associate Professor
external page Website
complexity theory, approximation algorithms, convex optimization, parameter estimation, tensor methods
Zhendong Su
Full Professor
Website
compilers, programming methodologies and tools, testing, analysis, verification, software security, machine learning, education technologies
Fanny Yang
Assistant Professor
Website
machine learning (theory and reliability), non-parametric and high-dimensional statistics, optimisation