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.

 

Vacancies

Postdoctoral researchers on evolutionary algorithms, machine learning, and biomechanical modelling to innovate automated registration of medical images

CWI closely collaborates with the Academic Medical Center (AMC) in Amsterdam to work on innovations in the medical domain along the entire spectrum from algorithmic foundations to clinical integration. Currently, CWI and AMC have a joint project for which we seek multiple talented postdocs to work on novel combinations of multi-objective evolutionary algorithms, machine learning, and biomechanical modelling for deformable image registration

PhD students on evolutionary algorithms, machine learning, and biomechanical modelling to innovate automated registration of medical images

CWI closely collaborates with the Academic Medical Center (AMC) in Amsterdam to work on innovations in the medical domain along the entire spectrum from algorithmic foundations to clinical integration. Currently, CWI and AMC have a joint project for which we seek multiple talented PhD students to work on novel combinations of multi-objective evolutionary algorithms, machine learning, and biomechanical modelling for deformable image registration.

Tenure Track position in Mathematics and Computer Science for Life Sciences and Health

The CWI Life Sciences and Health (LSH) group is a group of computer scientists and mathematicians who have their research focus on the analysis and design of models and algorithms and their direct application to important challenges in the LSH domain. Our present research team of computer scientists and mathematicians has expertise in e.g. computational genomics, medical informatics, computational phylogenetics and biological network analysis. We come from diverse methodological backgrounds, such as computational intelligence, computational data science and operations research. Methodologically, we develop new theories, models, algorithms and decision support tools, mostly for problems arising in collaboration with experimental biologists and medical experts. We also actively collaborate in projects with academic hospitals, biological and biochemical research institutes and industry.

News

Instable blood supply may help healthy cells compete with tumor cells

Instable blood supply may help healthy cells compete with tumor cells

Researchers of CWI’s Scientific Computing group have found that instabilities in the blood supply in cancerous tissue can, surprisingly, lead to a less favorable environment for tumor cells. Their findings shed light on the potential negative side effects of current treatments that aim to actually normalize the blood supply in cancerous tissues.

Instable blood supply may help healthy cells compete with tumor cells - Read More…

Comparing medical images better

Comparing medical images better

Together with the radiation oncology department of AMC, Peter Bosman of CWI’s Life Sciences and Health group has been awarded 1.4 million euros for a project in NWO’s Open Technology Programme for the research and development of a new medical image registration method. This project is co-funded by companies Elekta and Xomnia.

Comparing medical images better - Read More…

A puzzle with a million pieces:  assembling viral genomes from sequencing data

A puzzle with a million pieces: assembling viral genomes from sequencing data

Researchers from CWI’s Life Science and Health group have developed a new computational tool, SAVAGE, for reconstructing the genomes of the different virus strains that affect an infected person. SAVAGE makes it possible to reconstruct the different strains – of which there can be plenty in an infected person – even when so called reference genomes are not available

A puzzle with a million pieces: assembling viral genomes from sequencing data - Read More…

Current events

LSH Seminar Ziyuan Wang

  • 2018-10-09T15:00:00+02:00
  • 2018-10-09T16:00:00+02:00
October 9 Tuesday

Start: 2018-10-09 15:00:00+02:00 End: 2018-10-09 16:00:00+02:00

TBA

LSH Seminar Marco Virgolin

LSH Seminar Leen Stougie

  • 2018-09-11T15:00:00+02:00
  • 2018-09-11T16:00:00+02:00
September 11 Tuesday

Start: 2018-09-11 15:00:00+02:00 End: 2018-09-11 16:00:00+02:00

TBA

LSH Seminar Joke Blom

  • 2018-08-28T15:00:00+02:00
  • 2018-08-28T16:00:00+02:00
August 28 Tuesday

Start: 2018-08-28 15:00:00+02:00 End: 2018-08-28 16:00:00+02:00

TBA

LSH Seminar Alexander Schoenhuth

LSH Seminar Marjolein van der Meer

Members

Associated Members

Publications

Software

Current projects with external funding

  • 3D dose reconstruction for children with long-term follow-up Toward improved decision making in radiation treatment for children with cancer
  • Enhancing protein-drug binding prediction
  • ICT based Innovations in the Battle against Cancer – Next - Generation Patient -Tailored Brachytherapy Cancer Treatment Planning
  • Improving Childhood Cancer Care when Parents Cannot be There - Reducing Medical Traumatic Stress in Childhood Cancer Patients by Bonding with a Robot Companion
  • Statistical Models for Structural Genetic Variants in the Genome of the Netherlands
  • 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

  • Elekta Limited
  • Nucletron Operations BV
  • Xomnia
  • Academisch Medisch Centrum
  • Biomedical Imaging Group Rotterdam
  • Erasmus Universiteit Rotterdam
  • KiKa
  • Technische Universiteit Delft
  • Universiteit Leiden