TWIMPACT provides expertise and solutions for social network analysis, trend prediction and impact evaluation on a worldwide basis. Utilizing data from public and private communication channels, i.e. twitter or Facebook, we provide the technology to collect and analyze available information about online facilitators and multiplicators relevant to our customers. TWIMPACT caters to the advertisement and public relations market for high-tech companies. TWIMPACT is a spin-off company from the Berlin Institute of Technology with strong ties to the Intelligent Data Analysis group of Prof. Dr. Klaus-Robert Müller, who himself is a co-founder. This relationship allows TWIMPACT to provide technological access to the latest results of data analysis research for social networks.

The Team

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  Matthias L. Jugel

  CEO and founder

  Matthias L. Jugel has worked on social software for more than 10 years, most notably as one of the lead-developers of a java based wiki system, called SnipSnap. Between 1999 and 2002 he was CEO of neotis wissensmanagement GmbH, a knowledge management company developing software solutions for intangible asset management. He received a M.Sc. in computing science from the University of London and has worked in IT research within the Fraunhofer Society since 1994. After a short side-step to represent the Fraunhofer Institute FIRST in the Republic of Korea he now also holds a position as Industry Liaison Manager within the Machine Learning Group at the Berlin Institute of Technology where he ventures into the depth of social networks again.

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  Dr. Mikio L. Braun

  Methods and Analytics, founder

  Dr. Mikio L. Braun holds a post-doc position at the Machine Learning Group at the Berlin University of Technology. Whenever he is not pressing basic machine learning knowledge into students, he works on hard-core machine learning topics and his pet-project, JBLAS, a matrix library for java. Mikio received his Diploma and later a PhD in Computer Science from the University of Bonn. Since 2004 he is part of the intelligent data analysis group of Prof. Dr. Klaus-Robert Müller.

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  Prof. Dr. Klaus-Robert Müller

  co-founder

  Klaus-Robert Müller received the Diploma degree in mathematical physics in 1989 and the Ph.D. in theoretical computer science in 1992, both from University of Karlsruhe, Germany. From 1992 to 1994 he worked as a Postdoctoral fellow at GMD FIRST, in Berlin where he started to built up the intelligent data analysis (IDA) group. From 1994 to 1995 he was a European Community STP Research Fellow at University of Tokyo in Prof. Amari's Lab. From 1995 until 2008 he was head of department of the IDA group at GMD FIRST (since 2001 Fraunhofer FIRST) in Berlin and since 1999 he holds a joint associate Professor position of GMD and University of Potsdam. In 2003 he became a full professor at University of Potsdam, in 2006 he became chair of the machine learning department at TU Berlin. He has been lecturing at Humboldt University, Technical University Berlin and University of Potsdam. In 1999 he received the annual national prize for pattern recognition (Olympus Prize) awarded by the German pattern recognition society DAGM and in 2006 the SEL Alcatel communication award. He serves in the editorial boards of Computational Statistics, IEEE Transactions on Biomedical Engineering, Journal of Machine Learning Research and in program and organization committees of various international conferences.(services) His research areas include statistical learning theory for neural networks, support vector machines and ensemble learning techniques. He contributed to the field of signal processing working on time-series analysis, statistical denoising methods and blind source separation. His present application interests are expanded to the analysis of biomedical data, most recently to brain computer interfacing, genomic data analysis and social network analysis.