Contact

Dipl. Inf. Pascal Lehwark

Phone: +49 (0)30 616 29 347
E-Mail: email@lehwark.com

Berlin Kreuzberg

Expertise

More than 10 years of professional experience in development of Client/Server-Applications in Java and .NET, Databases (MySQL, MS-SQL, SQLite), Data Analysis with MATLAB as well as Web-Development (HTML5, CSS3, PHP, Javascript, Ajax). Extensive administrative competence on Linux-based systems. Close collaboration with research institutes, especially for the development of scientific software in the area of bioinformatics. Great interest in interdisciplinary collaboration. Diploma in computer science.

Projects from Industry and Research

Data Analysis

  • Many years of collaboration with idalab GmbH on projects for customers such as Deutsche Bank and well-respected business accounting agencies - application of statistical methods of data analysis on massive amounts of data.
  • Development of an Adative Search Engine as PhD-Student of Work Group Machine Learning/TU Berlin (three years as scholarship holder at IGP H-C3). Application of different techniques from repetitive crawling of internet sources, integration into SQL-databases, analysis with methods of machine learning to presentation through web interfaces.
  • Further projects in the areas of real-time trend-detection and creation of scientific computation libraries.

Interdisciplinary

Visualization

  • For Ocè creation of a software for organization and visualization of large document collections - therefore implementation of methods of knowledge discovery, especially self-organizing feature mas and neural networks.
  • 2D-Library with the goal to imitate the plotting capabilities of MATLAB.
  • Experiments with Graph-based User-Interfaces.
  • 3D-Analytics Tool for high-dimensional data (later integration into the Toolbox of the workgroup Databionics at Philipps-Universität Marburg
  • Graphical Information System for visitors of a museum at Biologische Station Bödefeld.
  • Diploma Thesis about "Detection and Visualization of Trends in Data from Social Networks"

Web Design