Datalab - The ZHAW Data Science Laboratory
Vision & Mission
We are convinced that doing data science in all its facets is the sexiest profession one can pursue. We have a passion for our subject and love to see it transformed into either of
- business value through innovative research projects, aiming mainly (but not exclusively) at Swiss SMEs
- new data scientists through passionate teaching of data science foundations and advanced topics; we educate our students towards being researchers as well as practitioners.
Our goal is to be a nationally leading and internationally recognized center of excellence for research, teaching and services in the area of data science. Datalab closely cooperates with industry, enabling innovation and technology transfer.
In order to reach these goals, we foster interdisciplinary collaboration and exchange of ideas between our members and associates.
Who we are
Datalab is a virtual organization at Zurich University of Applied Sciences, spanning several departments and institutes. It concentrates Data Science activities conducted by different researchers at their respective institutes and research units within ZHAW, bringing them into close collaboration by means of various activities.
Datalab was founded in 2013 by the InIT Institute of Applied Information Technology and the IDP Institute of Data Analysis and Process Design. It is comprised of institutional members and lives through the collaboration of its associates (i.e., active affiliates of its members) and partners. Datalab is governed by its Managing Board. See also the Datalab charter (PDF, 390 KB) on how to get involved yourself!
"Datalab is an important player in Switzerland at the interface of applied research and innovation. Data Science is a primary field for Universities of Applied Sciences like ZHAW. In line with our strategy, in line with our mission, Datalab is present in the field of Data Science – a separate discipline but interdisciplinary."
Prof. Dr. Jean-Marc Piveteau, President of ZHAW
Datalab's Managing Board is concerned about the overall strategy. It initiates lab activities like events, collaborations or educational initiatives, so that all associates are free to work together on topics and projects of their choice.
Director of Institute, Institute of applied ...
Lecturer for Data Analysis and Software ...
Head, Predictive Analytics Group (FS)
Senior Research Associate in Pattern Recognition ...
Deputy Head of Research/Focus Area, Information ...
Senior lecturer (Associate Professor equivalent) ...
Members of Datalab are organizational units of ZHAW. All members are active and/or interested in data science, and they have substantial potential and intent to push forward lab and its goals.
Associated partner institutes
Associated partner institutes of Datalab are organizational units of ZHAW. They are interested in the subject of the Datalab and aspire to become an active member in the future.
This is the living list of people (in alphabetical order) collaborating within the confines of the Datalab (as affiliates of our members). You find information on personal skills and project involvement on the linked personal sites. We attached a few working areas for each individual in order to give a hint whom to contact for a specific request. The list is by no means complete.
Dr. Philipp Ackermann - information visualization
Katrin Affolter - database technology, natural language processing
Dr. Maria Anisimova - probabilistic modeling, high-performance computing for genomics
Marek Arnold - machine learning, software
Prof. Gerold Baudinot - data warehousing, data mining
Fernando Benites - data analysis, machine learning, text mining
Prof. Dr. Martin Braschler - cross-language information retrieval, natural language processing
Prof. Dr. Wolfgang Breymann - financial modeling, integrated risk analysis
Nils Andri Bundi - financial data, modeling & analysis
Mario Christensen - big data, machine learning, data analysis
Dr. Mark Cieliebak - efficient algorithms, data analysis, sentiment detection
Dr. Somayeh Danafar - statistical kernel methods, machine learning, big data Analysis
Dr. Marcel Dettling - predictive analytics, high-dimensional problems, machine learning
Dr. Oliver Dürr - applied mathematics, advanced statistics
Dr. Phillipp Egli - data protection, data regulation, IT law
Gabriel Eyyi - machine learning, deep learning
Dr. Dandolo Flumini - functional programming, formal methods & verification
Dr. Martin Frey - statistical data analysis, environmental sciences
Prof. Dr. Rudolf Marcel Füchslin - complex system modeling, evolutionary methods
Dr. Manuel Gil - computational statistics, algorithm design
Dr. Stefan Glüge - (recurrent) neural networks, deep learning, speech/language processing
Stefan Hegyi - IT law, data protection & privacy, copyright
Prof. Dr. Christoph Heitz - predictive maintenance, data-based process modeling
Jonas Heitz - big data, machine learning, data analysis
Dr. Andreas Henrici - stability of integrable systems, delay-feedback systems
Dr. Sven Hirsch - data-driven modeling & simulation of diseases
Dr. Christoph Hofer - statistical data analysis, geostatistics
Dr. Lukas Hollenstein - discrete event simulation, statistical modelling & optimization
Prof. Dr. Hans-Peter Hutter - speech recognition, deep learning
Melanie Imhof - information retrieval, machine learning
Dr. Christian Jäger - control theory
Norman Juchler - medical image processing, machine learning, shape analysis
Dr. Lukas Lichtensteiger - Robotics, energy technology
Dr. Jürg Meierhofer - business model innovation, service value proposition design
Dr. Thoralf Mildenberger - statistical data analysis, machine learning
Elvis Murina - statistics, machine learning, deep learning
Prof. Dr. Thomas Ott - machine learning, pattern recognition, nature-inspired algorithms
Prof. Dr. Marc Rennhard - security, privacy
Prof. Dr. Andreas Ruckstuhl - statistical data analysis, descriptive and predictive modelling
Prof. Dr. Stephan Scheidegger - systems medicine, multi-level modeling
Dr. Sabine Schilling - machine learning on medical images, modelling of biological signalling pathways
Prof. Dr. Beate Sick - machine learning, design of experiment, modeling of high-dimensional data
Ana-Claudia Sima - big data, batch & stream processing and bioinformatics
Dr. Thilo Stadelmann - artificial intelligence, machine learning, multimedia analysis
Prof. Dr. Kurt Stockinger - big data, data warehousing, advanced database technology & analytics
Vasily Tolkachev - machine learning, stochastic processes, R
Lukas Tuggener - machine learning, deep learning, statistics
Dr. Robert Vorburger - stochastic modeling with monte-carlo particle simulations, medical image processing, data and information visualization
Prof. Dr. Marc Wildi - time series analysis, econometrics
Prof. Dr. Dirk Wilhelm - imaging techniques, computational fluid dynamics, high performance computing
Christoph Zaugg - modeling of stochastic systems, data driven optimization
Our alumni with their last known place of work.
- Dr. Brigitte Blum-Schneider - University of Zurich, Switzerland
- Dominic Egger - Scigility, Zurich, Switzerland
- Kadir Göcer - Swiss, Zurich, Switzerland
- Claudia Hasenstab
- Alex Horvath - ARGUS der Presse AG, Zurich, Switzerland
- Thierry Musy - Buzzamite, Cham, Switzerland
- Daniel Nydegger - Buzzamite, Cham, Switzerland
- Prof. Dr. Kurt Pärli - University of Basel, Professor for "Soziales Privatrecht"
- Dr. Yves Pauchard - University of Clagary, Canada
- Stefan Rietberger - In Charge!, Winterthur, Switzerland
- Christoph Senn
- Jan Stampfli - Migros, Zürich, Switzerland
- Fatih K. Uzdili - Google, Zürich, Switzerland
- William J. Thiers - Carlo Vanoli AG, 8833 Samstagern
- Michael Wyss - Buzzamite, Zürich, Switzerland
- Anita Zimmermann