Data science

Overview

Data Science is an interdisciplinary field focusing on methodologies for extracting knowledge and insights from data thus contributing to different areas of science. The Focus Area builds on the pioneering scientific results of the community and paves way for new breakthrough results across disciplines. Data science researchers concentrate on the analysis of complex, heterogeneous, and distributed large-scale data. Data analysis environments vary from high-performance computing systems, cloud environment, to edge and IoT systems. Our research methods are data, system and application driven, and our research areas vary from the genome level, industrial engineering processes, software systems, networks in human societies to astrophysical phenomena.  The overarching goal of the Focus Area is to leverage the synergies of the network in solving significant societal and industrial challenges related to data analysis.

People and Research Interests

Data Science members are including but not limited to the following:

Jukka K. Nurminen: Data-Intensive Computing in Natural Sciences (Focus area leader, University of Helsinki)

Talayeh Aledavood: Digital health and well-being, computational social science (Focus area deputy leader, Aalto University)

Maarit Korpi-Lagg: Astroinformatics; large-scale computing and data analysis of astrophysical simulated and observational data (Aalto University)

Mikko Kivelä: Complex systems and networks; Data analysis of networks and related method development (Aalto University)

Nikolaj Tatti: Privacy-aware and secure data science (University of Helsinki)

Pan Hui: Nokia Chair in Data Science (University of Helsinki)

Sasu Tarkoma: Data Science and Distributed Systems (University of Helsinki)

Simon Puglisi Compressed Data Structures; Data Science – Knowledge discovery in big data (University of Helsinki)

Wilhelmiina Hämäläinen: Data mining, pattern discovery algorithms, computational statistics (Aalto University)

Antti Honkela: Data Science – Machine Learning and AI (University of Helsinki)

Dorota Glowacka : ESP Group; interactive information retrieval, machine learning, exploratory search, user modelling (University of Helsinki)

Hong-Linh Truong: AaltoSEA; Design and optimization of large-scale data analysis across IoT-edge-cloud-HPC continuum (Aalto University)

Kai Puolamäki: Computer Science and Atmospheric Sciences (University of Helsinki)

Keijo Heljanko: Parallel and Distributed Data Science (University of Helsinki)

Laura Ruotsalainen: Spatiotemporal Data Analysis for Sustainability Science (University of Helsinki)

Bo Zhao: Efficient data-intensive systems for decision making (Aalto University)

Juhi Kulshrestha: Computational Social Science and Social Computing (Aalto University)

News

LUMI-G Pilot: VISSI project aims to test the scalability of the GPU partition and generate workloads on the GPUs, particularly to stress test the storage systems for stability testing, of the GPU partition of the European pre-Exascale supercomputer LUMI. VISSI-projects brings the modelling of solar fluctuation dynamo to an extreme regime not investigated before. Click here for more information about the LUMI-G pilot.

6G: University of Helsinki joined a Coalition to Advance Finland’s 6G Competitiveness.The most relevant Finnish research institutes and companies have founded a national coalition, 6G Finland, to advance Finland’s competitiveness in 6G research and development. The goals are to build international partnerships, to prioritize and coordinate joint actions and increase the impact of 6G expertise globally. Click here for more information about 6G in the Helsinki region