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Aleksandar Kapisoda

Boehringer Ingelheim, Germany

Aleksandar Kapisoda is an experienced data scientist with a degree in information and knowledge management from the University of Applied Sciences in Stuttgart, Germany. He is part of the "Senior information scientist" team in the Scientific Information Center (S.I.C.) at Boehringer Ingelheim Pharma GmbH & Co. KG in Biberach, Germany.

As a driver for innovative technologies in the field of data sciences at Boehringer Ingelheim with over 10 years’ experience in the information management landscape he is using and implementing commercial and open source data science solutions to solve issues in challenging projects in the life sciences and pharmaceutical industry.

Since 2005, he has been coordinating several information management projects in the area of Knowledge Representation, Information Retrieval, Web crawling, Visualisation, Text Mining as well as Semantic Technologies.  Thanks to his practical experience he is providing an excellent overview of product development, software & information landscape architecture, search, taxonomies, ontologies, linked data, RDF, visualisation, NoSQL- and semantic databases. Bringing new technologies into a BIG PHARMA company with > 47,000 employees is not an easy endeavour but BI´s Corporate Vision "Value through Innovation" encourages people to pursue ideas when they are convinced to generate an added value to the organization itself.



From KNIME to HighThroughPut Pipelining - from KNIME to HTPP (II-SDV 2017) Deep Web Search (II-SDV 2016) Semantic e-Science - The Future of Information Provision in the Digital Age (IC-SDV 2019) WebCrawling / Internet Research: Emancipation from Public Search or Why Boehringer Ingelheim is Betting on Proprietary Search Corpora (II-SDV 2015) Using Machine Learning for Automatic Classification of Companies (IC-SDV 2018)
Aleksandar Kapisoda
Aleksandar Kapisoda