Sociovestix Labs - first in financial data science
Christian Schulze has several years of work experience in various roles. Christian started their career in 2006 as a Software Design Engineer at sci-worx GmbH. In 2007, they joined DFKI GmbH as a Senior Researcher. Most recently, in 2016, they became the Head of IT at Sociovestix Labs.
Christian Schulze completed their education in a chronological manner with the following educational institutions and degrees:
- From 1999 to 2006, they attended Otto-von-Guericke University Magdeburg, where they earned a Master of Engineering (M.Eng.) degree in Electrical and Electronics Engineering.
- Subsequently, they pursued further education at RPTU Kaiserslautern-Landau from 2011 to 2015, where they obtained a Doctor of Philosophy (PhD) degree in Computer Science.
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Sociovestix Labs - first in financial data science
Sociovestix Labs Ltd. (SVL) is a socially motivated enterprise founded in July 2012 by four academics with in-depth expertise in artificial intelligence, data science, financial statistics and sustainable finance as a spin-off from the German Research Centre for Artificial Intelligence (DFKI). We have both financial and social aims. Our financial aim is to create value for our clients through the potential of our AI and financial data science technologies. Our social aim is to provide a clear voice to all groups in societies. We achieve this by directly communicating their concerns and capabilities on environmental, social and governance issues to responsible investors. Specifically, we commit to working with any digitally connected, talented individual regardless of residence status. More generally, our work is inspired by the 2015 United Nations’ Global Goals for Sustainable Development. To the best of our knowledge, we were the first team of scientists to set up and join laboratories in the emerging discipline of financial data science. Hence, our credo: we love learning, we empower evidence, we amplify sustainability. We embody Sociovestix Labs: first in financial data science.