Data Science Day 2024

 Friday, 7 June 2024



Welcome & Sessions

15:00 Welcome

  • Niklaus Hautsch (Vice Rector for Infrastructure, Board Member Data Science @ Uni Vienna)
  • João Alves (Deputy Head Department of Astrophysics, Board Member Data Science @ Uni Vienna)
  • Torsten Möller (Speaker Data Science @ Uni Vienna)

15:30 iLabs Presentation by Entrepreneurship @ Uni Vienna

  • Clickwise
  • CollaboratEd

16:00 Poster Session

  • Master students present their Data Analysis Projects
  • Alumni Engagement Station
  • Networking

17:45 Poster Awards


Keynote & Reception

18:00 Keynote Lecture

  • Stephan Günnemann
    Professor for Data Analytics and Machine Learning, School of Computation, Information and Technology, TU Munich
    Covering Multiple Scales: Graph Machine Learning for Science

19:00 Evening Reception

21:00 Wrap Up

@ University Observatory

Department of Astrophysics
Türkenschanzstraße 17
1180 Vienna

How to get to the Observatory (Sternwarte)

Photo: Thomas Posch

Registration is open until 31 May

About Stephan Günnemann

Stephan Günnemann conducts research in the area of machine learning and data analytics. His main research focuses on how to make machine learning techniques reliable, thus, enabling their safe and robust use in various application domains. Prof. Günnemann is particularly interested in studying machine learning methods targeting complex data domains such as graphs/networks and temporal data.

He acquired his doctoral degree in 2012 at RWTH Aachen University in the field of computer science. From 2012 to 2015 he was an associate of Carnegie Mellon University, USA; initially as a postdoctoral fellow and later as a senior researcher. Prof. Günnemann has been a visiting researcher at Simon Fraser University, Canada, and a research scientist at the Research & Technology Center of Siemens AG. In 2015, Prof. Günnemann set up an Emmy Noether research group at TUM Department of Informatics. He has been a professor at TUM since 2016. He is the Executive Director of the Munich Data Science Institute and Director of the Konrad Zuse School of Excellence in Reliable AI.

About iLabs

The innovation labs are aimed at students, doctoral candidates, and early-stage researchers interested in learning and applying the fundamentals of entrepreneurship. Through a blend of theoretical knowledge and practical application, participants engage in an accelerated venture creation process, working to evolve their ideas from conception to pitch. Learn more about the innovation labs here:

About Alumni Association

The Alumni Association is the official alumni network of the University of Vienna: a platform established by graduates for graduates, offering opportunities for engagement, enrichment, and active participation. The aim is to harness the involvement of our alumni community to launch new initiatives and projects for the university's future and the next generation of graduates. Activities are developed not just for alumni, but with alumni. Read about the Alumni Association here:

About Deloitte

Deloitte Austria is the leading professional services firm. Approximately 1,900 employees in 15 offices across Austria provide audit, tax, consulting, financial advisory and risk advisory services to public and private clients. Clients benefit from high-quality services through top experts and from profound industry insights. Deloitte Legal and Deloitte Digital complete our extensive range of services. Deloitte defines itself as a smart initiator for positive development of the business location Austria. The Deloitte Future Fund develops social initiatives. As an employer, Deloitte has the ambition to be "Best place to work". Find out more at

 Data Science Day 2024 – Invitation as PDF