Description
Leader of the group Life Sciences and Health: Leen Stougie.
Our research group creates fundamental knowledge and applied solutions in the broad field of life sciences. We promote understanding of how biological processes work in detail. Our interdisciplinary team of computer scientists, mathematicians and theoretical biologists develops new models, theories, and decision support systems in collaboration with experimental biologists and medical experts. We are motivated by applications of our work in practice
Watch our group video to get a glimpse of our activities or click here for more information about our group structure.
News
Reinforcing the electricity grid with Evolutionary Algorithms
In our modern daily life, many activities require electricity, for example, the use of domestic appliances, manufacturing, communication, and transportation. It is therefore essential to maintain a reliable supply of electricity to ensure the operation of such activities.
Peter Bosman appointed part-time professor Delft University of Technology
Recently, Peter A.N. Bosman, senior researcher in the CWI Life Sciences and Health (LSH) group, has been appointed part-time professor Evolutionary Algorithms in the department of Software Technology of the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) of Delft University of Technology.
Joint eScience and Data Science grant for CWI's Peter Bosman and AMC
Recently, a research proposal that is spearheaded by CWI was granted in the Joint eScience and Data Science programme that was organized jointly by the NWO Domain Science and Netherlands eScience Center (NLeSC). In all projects in this programme, researchers collaborate with eScience engineers of the NLeSC.
Alexander Schoenhuth appointed Professor Genome Data Science
Starting 1 October 2017, Alexander Schoenhuth of Centrum Wiskunde & Informatica (CWI) in Amsterdam is appointed Professor ‘Genome Data Science’ at the Faculty of Science of Utrecht University. It concerns a part-time appointment for one day a week.
Members
Associated Members
Publications
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Shvetsova, E, Sofronova, A, Monajemi, R, Gagalova, K, Draisma, H.H.M, White, S.J, … GoNL consortium. (2018). Skewed X-inactivation is common in the general female population. European Journal of Human Genetics. doi:10.1038/s41431-018-0291-3
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Luong, N.H. (2018, October 17). Design and application of scalable evolutionary algorithms in electricity distribution network expansion planning.
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Aalvanger, G.H, Luong, N.H, Bosman, P.A.N, & Thierens, D. (2018). Heuristics in permutation GOMEA for solving the permutation flowshop scheduling problem. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (pp. 146–157). doi:10.1007/978-3-319-99253-2_12
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Luong, N.H, La Poutré, J.A, & Bosman, P.A.N. (2018). Exploiting linkage information and problem-specific knowledge in evolutionary distribution network expansion planning. Evolutionary Computation, 26(3), 471–505. doi:10.1162/EVCO_a_00209
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Koumoutsos, G. (2018, September). k-Server problems.
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Olver, N.K, Pruhs, K, Schewior, K, Sitters, R.A, & Stougie, L. (2018). The itinerant list update problem. In Proceedings of the 16th Workshop on Approximation and Online Algorithms (WAOA 2018) (pp. 310–326). doi:10.1007/978-3-030-04693-4_19
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Thierens, D, & Bosman, P.A.N. (2018). Model-based evolutionary algorithms: GECCO 2018 tutorial. In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 553–583). doi:10.1145/3205651.3207874
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Virgolin, M, Alderliesten, T, Bel, A, Witteveen, C, & Bosman, P.A.N. (2018). Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 1395–1402). doi:10.1145/3205455.3205604
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van der Meer, M.C, Alderliesten, T, Pieters, B.R, Bel, A, Niatsetski, Y, & Bosman, P.A.N. (2018). Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA. In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 1387–1394). doi:10.1145/3205455.3205505
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Maree, S.C, Thierens, D, Alderliesten, T, & Bosman, P.A.N. (2018). Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 857–864). doi:10.1145/3205455.3205477
Software
VirtualLeaf: a modeling framework for plant tissue morphogenesis
VirtualLeaf is a computer modeling framework for the simulation of plant tissue morphogenesis, i.e., the biological development of an organism's shape
Current projects with external funding
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3D dose reconstruction for children with long-term follow-up Toward improved decision making in radiation treatment for children with cancer
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Enhancing protein-drug binding prediction
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ICT based Innovations in the Battle against Cancer – Next - Generation Patient -Tailored Brachytherapy Cancer Treatment Planning
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Improving Childhood Cancer Care when Parents Cannot be There - Reducing Medical Traumatic Stress in Childhood Cancer Patients by Bonding with a Robot Companion
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Statistical Models for Structural Genetic Variants in the Genome of the Netherlands
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Fusible Evolutionary Deep Neural Network Mixture Learning from Distributed Data for Robust Medical Image Analysis (FEDMix)
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Multi-Objective Deformable Image Registration (MODIR) – An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with (MODIR)
Related partners
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AMC Medical Research
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Elekta Limited
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Nucletron Operations BV
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Xomnia
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Academisch Medisch Centrum
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Biomedical Imaging Group Rotterdam
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Erasmus Universiteit Rotterdam
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KiKa
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Technische Universiteit Delft
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Universiteit Leiden