Biology and Data Science - Bioinformatics in action
30 March 2021
- What is the use of algorithms in the study of genomes? How is it useful?
- What are the latest advances in genomic epidemiology and computational research on mutations of viruses?
- What is computational biomedicine and the role of artificial intelligence in the present and future research on drugs?
- What are the possible applications of bioinformatic research?
Data Science is an interdisciplinary field focusing on methodologies for extracting knowledge and insights from data thus contributing to different areas of science. Come and hear what the top researchers from the University of Helsinki and Aalto University tell us about their pioneering work and research in bioinformatics.
- Sasu Tarkoma: Opening words
- Simon Puglisi: Faster Pseudoalignment for Genomic Epidemiology and Metagenomics
- Alexandru Tomescu: Network flows for viral quasi-species assembly in bioinformatics
- Juho Rousu: Learning to predict drug combination responses
- Veli Mäkinen: Algorithms and Complexity on Indexing Founder Graphs
- Questions and end discussion
Patrik Floréen, Vice Director of HiDATA, will be hosting this webinar.
Helsinki Centre for Data Science HiDATA is a large multi-disciplinary network of researchers working on both methods and applications supported by our Data Science infrastructure. HiDATA is a joint hub of the University of Helsinki and Aalto University.
More about the speakers:
Simon J. Puglisi is an Associate Professor at the Department of Computer Science, UH, where he leads the Compressed Data Structures team, which is part of the wider Algorithmic Bioinformatics group. His bioinformatics research focuses on index data structures for efficient genome assembly and read mapping.
Alexandru Tomescu is an Associate Professor at the Department of Computer Science, UH, where he leads the Graph Algorithms team of the wider Algorithmic Bioinformatics group. In 2019 he obtained the ERC Starting Grant with an algorithmic bioinformatics project.
Juho Rousu is a Professor of Computer Science at Aalto University, Finland. Rousu obtained his PhD in 2001 form University of Helsinki, while working at VTT Technical Centre of Finland. In 2003-2005 he was a Marie Curie Fellow at Royal Holloway University of London. In 2005-2011 he held Lecturer and Professor positions at University of Helsinki, before moving to Aalto University in 2012. Rousu’s main research interest is in developing principled machine learning methods, models and tools for computational and data science. Rousu's favourite topics include learning with multiple and structured targets, multiple views and ensembles, with methodological emphasis in regularised learning, kernels and sparsity, as well as efficient convex and non-convex optimisation methods. His applications of interest include metabolomics, biomedicine, pharmacology and synthetic biology.
Veli Mäkinen is Professor of Computer Science at the University of Helsinki. He heads the Genome-scale algorithmics team at the Algorithmic Bioinformatics research group. Some current research interests include studying algorithms and computational complexity when moving from sequences to variation graphs in (pan-)genomics, and studying applications of different index structures related to the variants of the Burrows-Wheeler transform.
Patrik Floréen is University Lecturer in Computer Science at University of Helsinki. His research interests are in intelligent information retrieval and context-aware computing. He is Vice-Director of Helsinki Institute for Information Technology HIIT, Vice-Director of Helsinki Centre for Data Science HiDATA, and member of the management team of the Finnish Center for Artificial Intelligence FCAI. He has previously been a director at the Academy of Finland (1995-97) and a Scientific Officer at the European Commission in Brussels (1997-2001).