Dr. Michael Haft
has a Ph.D. in Theoretical Physics and Neuroinformatics and more than 20 years of experience in developing analytics technologies at major companies like Siemens, Accenture and SAP. Before founding Xplain Data he worked as Chief Architect at SAP with a focus on Big Data Analytics. Earlier in his career, he co-founded a startup where he was responsible for the entire product lifecycle of analytics innovations. Michael commands a broad and unique knowledge spanning from database and BI technologies to Statistics, Mathematics and Machine Learning. From numerous projects, he knows how to apply those technologies in a business context.
Peide Wang
joined us from SAP, where the holder of a Diploma in Mathematical Sciences last worked on predictive maintenance as a development architect. Throughout 13 years of business application development experience, he gained extensive knowledge of different technologies and platforms, ranging from R/3 modules (ABAP) and database algorithms (C++) to modern web applications (Java/JavaScript). At Xplain Data he designs and implements appealing user interfaces for our customers and brings his vast algorithm expertise to our work.
Dr. habil. Hanjo Täubig
finished his studies in computer science at TU Munich and got a Ph.D. for a thesis on protein structure searching in protein databases. He worked as a substitute professor of Theoretical Computer Science at the Chair for Efficient Algorithms at TUM and lectured on the fundamentals of algorithms and data structures for several years. He habilitated with a thesis on inequalities related to the development of entries in matrix powers with applications in various scientific disciplines. At TUM, Hanjo lectured on computational biology and advanced network and graph algorithms, as well as giving seminars on string matching and spectral graph theory. At Xplain Data, he is responsible for efficient algorithms and data structures.
Dr. Christian Koncilia
holds a Ph.D. in applied computer science for developing algorithms to deal with structural changes in Data Warehouses. He worked for more than 25 years in the Life Science and Health Care industry, working on projects for different hospitals, insurance companies and pharmaceutical companies. Christian has extensive hands-on experience with different Business Intelligence tools, database management systems, and many programming languages and frameworks. During the last decade, he has focused on the development of different web applications. At Xplain Data, he is responsible for the front end.
Monika Roy
brings with her over 25 years of B2B marketing experience in the IT industry. Prior to Xplain Data, she was responsible for content creation and digital marketing at Dassault Systèmes SolidWorks, Germany. She began her career at Informix Software (now IBM), where she was in charge of developing a successful marketing collaboration with partner SAP. She then worked in various positions for companies in the database, network and software development environment and was responsible for the development and implementation of successful PR and direct marketing campaigns across Europe. Monika has a degree in industrial engineering from the University of Applied Sciences in Munich.
Charlotte Chenpo Hu
joined us from Deloitte where she focused on IT and IoT Software Engineering and Data Science. With a Double Degree Bachelor in Business Administration and Finance from the University of International Business and Economics in Beijing, as well as a Bachelor’s in Computational Science and Double Master’s in Business Administration and Computational Science from the University of Potsdam and the Hasso Plattner Institute, she has a highly diverse academic background. She also gained practical experience as a SCRUM Master in the areas of business analysis, quality management, and web design. At Xplain Data, Charlotte uses her expertise to design and implement appealing user interfaces for our customers and assuring our software’s quality.
Dr. Ivan Lecei
Ivan earned his first spurs as a Data Scientist at the renowned Fraunhofer SCAI Institute for Algorithms and Scientific Computing, where he was mainly researching numerical data-based predictions and anomaly detection methods, especially in the field of condition monitoring and predictive maintenance. After studying business mathematics at the University of Ulm, Ivan earned his PhD with a thesis on “Modelling extremal dependence” at the Institute of probability theory. While being employed at the Fraunhofer Institute, he held training courses for various aspects of data analytics and deep learning and worked as a lecturer at the University of Bonn.
At Xplain Data, Ivan supports the product management team by implementing systematic test procedures, creating professional documentation, and developing exemplary use cases.