Master-Studium Data Science: Lehrende

Kurzvita:

Als Philosoph interessiere ich mich vor allem für die ethische und „menschliche" Seite der digitalen Transformation. Mich bewegt die Frage, wie wir unsere digitale Zukunft verantwortungsvoll gestalten können - ob als Data Scientist*in, User*in oder als Unternehmen. Außerhalb des universitären Feldes habe ich als Vortragsredner, Workshopleiter oder Berater regelmäßig mit Organisationen aus Wirtschaft und Gesellschaft zu tun. Im Rowohlt-Verlag schreibe ich philosophische Sachbücher, z.B. den SPIEGEL-Bestseller „Was tue ich hier eigentlich?" Als „teilnehmender Beobachter“ bin ich auf Twitter, Facebook und LinkedIn präsent sowie im Team des podcasts „DenkDuett“.

Am Master Data Science wirke ich gerne mit, weil:

die Studierenden hier interessiert und aufgeschlossen sind und außerdem das technische Verständnis mitbringen, um ethische Fragen an konkreten technischen Kontexten zu diskutieren.

Senior Expert Data Scientist - Otto GmbH

Kurzvita:

Analysing huge, heterogeneous data-sets and finding new, valuable information has always fascinated and driven me. I followed this passion in my computer science Diplom and Ph.D. thesis. During this time I also discovered another passion: teaching and sharing my knowledge.

After my Ph.D. I helped the European Bioinformatics Institute (EBI) in Cambridge/UK, to efficiently index their huge databases. After my time at the EBI I worked as a Big Data Scientist in several companies in Germany. In nearly all my positions, I first had to build up a cloud infrastructure for running big data jobs.

Currently, I am Senior Data Architect at T-Systems International. At T-Systems I design and implement the big data infrastructure as well as machine learning services for some of German largest companies.

Am Master Data Science wirke ich gerne mit, weil:

As I mentioned above, I like to teach and share my knowledge. I am therefore I am really happy that I have the opportunity to follow my passion at Leuphana's Data Science course.

Kurzvita:

Dr. Vinu E. Venugopal is currently an Assistant Professor at the International Institute of Information Technology, Bangalore, India. His research interests include various aspects of data management and have focused on scalable Big Data processing architectures, large-scale knowledge graphs and ontologies. His work has a technological focus and includes building systems for high-velocity stream data processing, distributed deep learning and reasoning.

He received his Ph.D. in Computer Science and Engineering (Dec 2017) from the Indian Institute of Technology Madras (IITM), India. Before joining IIIT Bangalore, he held positions as a Research Associate (Post-doc) in the Big Data, Data Science, and Databases research group at the University of Luxembourg (Mar 2018 - Dec 2021), and as an external lecturer for the Master in Data Science Program at the Leuphana University, Lüneburg, Germany.

He is a recipient of the IITM Institute Research Award in 2017 and has been selected for the Leonardo Research Fellowship in 2020. He has authored several international journals and conference publications, and two of them were nominated for the best paper awards. He has served as a PC member, a reviewer and an organizer for several international conferences, workshops and journals, including VLDB, SIGMOD, SWJ, CIKM, ICML, and many others.

Am Master Data Science wirke ich gerne mit, weil:

As an academic and a researcher who works in the frontier of data science, it gives me immense pleasure to interact with students, researchers, and professionals from various disciplines. I am passionate about imparting my knowledge and experience to motivated students of Leuphana's master's in data science program.