Data Science Research Engineers

Data driven research is becoming increasingly important for many research activities at Chalmers. To extract valuable patterns from large data sources and meet the related computational and scientific challenges, Chalmers and the ICT Area of Advance have created a group of Data Science Research Engineers with the purpose to support and contribute to big data research projects, i.e., projects with a strong emphasis on methods of data analysis and machine learning that are needed in research projects. A visualization of different projects the group has worked with the last years can be viewed here: DSRE Project Visualization 

Within the Department of Computer Science and Engineering there is also a separate division of Data Science​, with researchers developing machine learning and data science.

Contact Vilhelm Verendel and Ivica Crnkovic for more information.

Unit Manager

Vilhelm Verendel
vive@chalmers.se
Vilhelm has a PhD in complex systems (2016) about mathematical modeling and simulating models of cooperation and learning. He specializes in applying machine learning in several research projects at Chalmers.

Two current project are: Using large online datasets to predict traffic flows and congestion in 26 cities around the worlds, and using 30 years of wind data from NASA to study feasibility of wind power around the globe.


Research Engineers

Oscar Ivarsson
ioscar@chalmers.se
Oscar works as a Research Engineer within the Big Data initiative at Chalmers. He received his M.Sc in Computer Science and Technology from Linköping University in 2015 and has since been at Chalmers.
 
In his role, he supports research projects in various domains by utilizing the broad spectrum of Big Data related technologies such as machine learning, visual analytics, data processing and storage solutions. His key competence is in developing tools and applications around these technologies to offer ways of gaining more knowledge from the large and complex datasets often used within research today.

 
Muhammad Azam Sheikh
azams@chalmers.se
Azam enjoys his position as a Research Engineer within the Big Data initiative at Chalmers. Azam owns a PhD in Algorithms (2013) from Chalmers University. He has 10+ years of research and development experience within the domain of algorithms, machine learning and applied artificial intelligence.

In his present role, Azam is applying combinations of big data related technologies and combinatorial approaches to a variety of research projects for data analysis, visualization and prediction tasks.


Karen Baca
Karen started her position as a Research Engineer in the summer 2019. She received her M.Sc. in Engineering Mathematics and Computational Science from Chalmers University in October 2019, mainly focusing in machine learning and optimization.

In her present role, she is working together with the Genie initiative to analyze the gender proportion at different departments at Chalmers through the years.  She has also experience in applying data mining and machine learning techniques in driving time series data.


Victor Eberstein








Nora Speicher








Published: Wed 16 Sep 2015. Modified: Tue 29 Oct 2019