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 challenges of big data, Chalmers and the ICT Area of Advance have created a group of data science research engineers with the purpose of contributing 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.
Contact Vilhelm Verendel and Ivica Crnkovic for more information. Vilhelm Verendelvive@chalmers.se
Vilhelm works with machine learning in several research projects at Chalmers. Vilhelm has a PhD in complex systems (2016) about mathematical modeling and simulating models of cooperation and learning. His technical background includes 15+ years experience in system administration, network and system programming. Currently he is focused on applying machine learning methods in several research projects.
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. Oscar Ivarssonioscar@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 Sheikhazams@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.Rongzhen Chenrongzhen@chalmers.se
Rongzhen works as a Data Science Research Engineer at Chalmers since 2018. He received his PhD in applied materials physics in the department of materials science and engineering at KTH Royal Institute of Technology in 2017. He has 10+ years’ experience in computational materials physics and scientific programming.
In his present role, Rongzhen is applying the knowledge of data science into different disciplinary backgrounds at Chalmers. He is passionate about data science and believe that there are many research opportunities at Chalmers making and mapping connections in data science across the faculties.Magnus Kjellbergmagkjel@chalmers.se
Magnus joined the Data Science Research Engineer team at Chalmers in 2018. He received his PhD in biology at Göteborg University in 2001 and spent 10 years as a computational chemist/biologist within pharmaceutical R&D. He has also worked as data scientist and data engineer in startups and consultant companies in areas such as text mining, industry, transport and energy. Currently Magnus is applying his knowledge in R&D and data science to various research areas across Chalmers.